Brightway Flows 1.0
GitHub
Present in 2 source lists

Each list resolved it independently. Where they disagree, that is a conflict.

ecoinvent 3.12

algorithm
Name
Xenon-138
Context
air → non-urban air or from high stacks
Unit
kBq
CAS
15751-81-2
EC
Basis
cas 15751-81-2
Method
algorithm
Substance
fo-8ac0ceeb61ad5e4c
Target flow
08a91e70-3ddc-11dd-9147-0050c2490048

What it could have been

1 flow between them, 5 of them eligible after the dimension and media filter, 7 removed because the context did not agree.

Score Name Unit Context LCIA Flow
0 Xenon-138 kBq Environmental → Air → Medium stack, <150 meters → Rural (<1000 people/square mile) 0 08a91e70-3ddc-11dd-9147-0050c2490048
Everything this outcome recorded
{
  "source_uuid": "7c44db6f-bf0e-4a63-bd94-d376ec941786",
  "source_name": "Xenon-138",
  "source_context": [
    "air",
    "non-urban air or from high stacks"
  ],
  "source_context_normalized": [
    "Environmental",
    "Air",
    "Medium stack, <150 meters",
    "Rural (<1000 people/square mile)"
  ],
  "source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-mest15me-ru10pesq",
  "source_unit": "kBq",
  "source_cas": "15751-81-2",
  "source_ec": "",
  "flow_object_id": "fo-8ac0ceeb61ad5e4c",
  "target_name": "Xenon-138",
  "target_elementary_flow_id": "08a91e70-3ddc-11dd-9147-0050c2490048",
  "target_context": [
    "Environmental",
    "Air",
    "Medium stack, <150 meters",
    "Rural (<1000 people/square mile)"
  ],
  "target_unit": "kBq",
  "basis": "cas",
  "basis_value": "15751-81-2",
  "selector_reason": "exact-context-iri-match",
  "matching_method": "algorithm",
  "algorithm_details": {
    "flow_object_candidate_count": 1,
    "elementary_candidate_count": 12,
    "eligible_candidate_count": 5,
    "filtered_out_context_mismatch_count": 7,
    "required_dimension": "Environmental",
    "required_media": "Air",
    "selector_model": "exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto",
    "top_candidates": [
      {
        "elementary_flow_id": "08a91e70-3ddc-11dd-9147-0050c2490048",
        "score": 0,
        "unit_exact": false,
        "context_overlap": 0,
        "context_penalty": 0,
        "context_iri_exact": true,
        "unit": "kBq",
        "context": [
          "Environmental",
          "Air",
          "Medium stack, <150 meters",
          "Rural (<1000 people/square mile)"
        ],
        "context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-mest15me-ru10pesq"
      }
    ],
    "scored_candidates": [
      {
        "elementary_flow_id": "08a91e70-3ddc-11dd-9147-0050c2490048",
        "score": 0,
        "unit_exact": false,
        "context_overlap": 0,
        "context_penalty": 0,
        "context_iri_exact": true,
        "unit": "kBq",
        "context": [
          "Environmental",
          "Air",
          "Medium stack, <150 meters",
          "Rural (<1000 people/square mile)"
        ],
        "context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-mest15me-ru10pesq"
      }
    ],
    "winning_score": null,
    "tie_on_top_score": false,
    "source_context_original": [
      "air",
      "non-urban air or from high stacks"
    ],
    "source_context_normalized": [
      "Environmental",
      "Air",
      "Medium stack, <150 meters",
      "Rural (<1000 people/square mile)"
    ],
    "source_context_used_for_matching": [
      "Environmental",
      "Air",
      "Medium stack, <150 meters",
      "Rural (<1000 people/square mile)"
    ],
    "source_context_matching_basis": "normalized"
  },
  "provenance": {
    "prov:wasGeneratedBy": "merge_ecoinvent",
    "prov:wasAttributedTo": "consensus-flow-list",
    "prov:hadPrimarySource": [
      "ecoinvent:3.12:7c44db6f-bf0e-4a63-bd94-d376ec941786",
      "Xenon-138",
      "",
      "algorithm.lookup_order=cas>ec>label",
      "algorithm.basis=cas:15751-81-2",
      "algorithm.flow_object_candidates=1",
      "algorithm.elementary_candidates=12",
      "algorithm.selector_reason=exact-context-iri-match",
      "algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
    ],
    "prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(cas:15751-81-2);flow_object_candidates(1);elementary_candidates(12);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
  }
}

ecoinvent 3.8

algorithm
Name
Xenon-138
Context
air → non-urban air or from high stacks
Unit
kBq
CAS
15751-81-2
EC
Basis
cas 15751-81-2
Method
algorithm
Substance
fo-8ac0ceeb61ad5e4c
Target flow
08a91e70-3ddc-11dd-9147-0050c2490048

What it could have been

1 flow between them, 5 of them eligible after the dimension and media filter, 7 removed because the context did not agree.

Score Name Unit Context LCIA Flow
0 Xenon-138 kBq Environmental → Air → Medium stack, <150 meters → Rural (<1000 people/square mile) 0 08a91e70-3ddc-11dd-9147-0050c2490048
Everything this outcome recorded
{
  "source_uuid": "7c44db6f-bf0e-4a63-bd94-d376ec941786",
  "source_name": "Xenon-138",
  "source_context": [
    "air",
    "non-urban air or from high stacks"
  ],
  "source_context_normalized": [
    "Environmental",
    "Air",
    "Medium stack, <150 meters",
    "Rural (<1000 people/square mile)"
  ],
  "source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-mest15me-ru10pesq",
  "source_unit": "kBq",
  "source_cas": "15751-81-2",
  "source_ec": "",
  "flow_object_id": "fo-8ac0ceeb61ad5e4c",
  "target_name": "Xenon-138",
  "target_elementary_flow_id": "08a91e70-3ddc-11dd-9147-0050c2490048",
  "target_context": [
    "Environmental",
    "Air",
    "Medium stack, <150 meters",
    "Rural (<1000 people/square mile)"
  ],
  "target_unit": "kBq",
  "basis": "cas",
  "basis_value": "15751-81-2",
  "selector_reason": "exact-context-iri-match",
  "matching_method": "algorithm",
  "algorithm_details": {
    "flow_object_candidate_count": 1,
    "elementary_candidate_count": 12,
    "eligible_candidate_count": 5,
    "filtered_out_context_mismatch_count": 7,
    "required_dimension": "Environmental",
    "required_media": "Air",
    "selector_model": "exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto",
    "top_candidates": [
      {
        "elementary_flow_id": "08a91e70-3ddc-11dd-9147-0050c2490048",
        "score": 0,
        "unit_exact": false,
        "context_overlap": 0,
        "context_penalty": 0,
        "context_iri_exact": true,
        "unit": "kBq",
        "context": [
          "Environmental",
          "Air",
          "Medium stack, <150 meters",
          "Rural (<1000 people/square mile)"
        ],
        "context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-mest15me-ru10pesq"
      }
    ],
    "scored_candidates": [
      {
        "elementary_flow_id": "08a91e70-3ddc-11dd-9147-0050c2490048",
        "score": 0,
        "unit_exact": false,
        "context_overlap": 0,
        "context_penalty": 0,
        "context_iri_exact": true,
        "unit": "kBq",
        "context": [
          "Environmental",
          "Air",
          "Medium stack, <150 meters",
          "Rural (<1000 people/square mile)"
        ],
        "context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-mest15me-ru10pesq"
      }
    ],
    "winning_score": null,
    "tie_on_top_score": false,
    "source_context_original": [
      "air",
      "non-urban air or from high stacks"
    ],
    "source_context_normalized": [
      "Environmental",
      "Air",
      "Medium stack, <150 meters",
      "Rural (<1000 people/square mile)"
    ],
    "source_context_used_for_matching": [
      "Environmental",
      "Air",
      "Medium stack, <150 meters",
      "Rural (<1000 people/square mile)"
    ],
    "source_context_matching_basis": "normalized"
  },
  "provenance": {
    "prov:wasGeneratedBy": "merge_ecoinvent",
    "prov:wasAttributedTo": "consensus-flow-list",
    "prov:hadPrimarySource": [
      "ecoinvent:3.8:7c44db6f-bf0e-4a63-bd94-d376ec941786",
      "Xenon-138",
      "",
      "algorithm.lookup_order=cas>ec>label",
      "algorithm.basis=cas:15751-81-2",
      "algorithm.flow_object_candidates=1",
      "algorithm.elementary_candidates=12",
      "algorithm.selector_reason=exact-context-iri-match",
      "algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
    ],
    "prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(cas:15751-81-2);flow_object_candidates(1);elementary_candidates(12);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
  }
}

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