Brightway Flows 1.0
GitHub

agribalyse 3.2

algorithm
Name
Tellurium-123m
Context
Emissions to water → river
Unit
kBq
CAS
378784-49-7
EC
Basis
cas 378784-49-7
Method
algorithm
Substance
fo-863ccf530db23bdf
Target flow
8929d8bd48cd41fa907affcc9cebd84ab87fe102

What it could have been

1 flow between them, 6 of them eligible after the dimension and media filter, 5 removed because the context did not agree.

Score Name Unit Context LCIA Flow
0 Tellurium-123m kBq Environmental → Water → River 0 8929d8bd48cd41fa907affcc9cebd84ab87fe102
Everything this outcome recorded
{
  "source_uuid": "3eb22925-69c5-5d1f-b470-62a9787897af",
  "source_name": "Tellurium-123m",
  "source_context": [
    "Emissions to water",
    "river"
  ],
  "source_context_normalized": [
    "Environmental",
    "Water",
    "River"
  ],
  "source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive",
  "source_unit": "kBq",
  "source_cas": "378784-49-7",
  "source_ec": "",
  "flow_object_id": "fo-863ccf530db23bdf",
  "target_name": "Tellurium-123m",
  "target_elementary_flow_id": "8929d8bd48cd41fa907affcc9cebd84ab87fe102",
  "target_context": [
    "Environmental",
    "Water",
    "River"
  ],
  "target_unit": "kBq",
  "basis": "cas",
  "basis_value": "378784-49-7",
  "selector_reason": "exact-context-iri-match",
  "matching_method": "algorithm",
  "algorithm_details": {
    "flow_object_candidate_count": 1,
    "elementary_candidate_count": 11,
    "eligible_candidate_count": 6,
    "filtered_out_context_mismatch_count": 5,
    "required_dimension": "Environmental",
    "required_media": "Water",
    "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": "8929d8bd48cd41fa907affcc9cebd84ab87fe102",
        "score": 0,
        "unit_exact": false,
        "context_overlap": 0,
        "context_penalty": 0,
        "context_iri_exact": true,
        "unit": "kBq",
        "context": [
          "Environmental",
          "Water",
          "River"
        ],
        "context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive"
      }
    ],
    "scored_candidates": [
      {
        "elementary_flow_id": "8929d8bd48cd41fa907affcc9cebd84ab87fe102",
        "score": 0,
        "unit_exact": false,
        "context_overlap": 0,
        "context_penalty": 0,
        "context_iri_exact": true,
        "unit": "kBq",
        "context": [
          "Environmental",
          "Water",
          "River"
        ],
        "context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive"
      }
    ],
    "winning_score": null,
    "tie_on_top_score": false,
    "source_context_original": [
      "Emissions to water",
      "river"
    ],
    "source_context_normalized": [
      "Environmental",
      "Water",
      "River"
    ],
    "source_context_used_for_matching": [
      "Environmental",
      "Water",
      "River"
    ],
    "source_context_matching_basis": "normalized"
  },
  "provenance": {
    "prov:wasGeneratedBy": "merge_agribalyse",
    "prov:wasAttributedTo": "consensus-flow-list",
    "prov:hadPrimarySource": [
      "agribalyse:3.2:3eb22925-69c5-5d1f-b470-62a9787897af",
      "Tellurium-123m",
      "",
      "algorithm.lookup_order=cas>ec>label",
      "algorithm.basis=cas:378784-49-7",
      "algorithm.flow_object_candidates=1",
      "algorithm.elementary_candidates=11",
      "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:378784-49-7);flow_object_candidates(1);elementary_candidates(11);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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