Brightway Flows 1.0
GitHub

Identity

Substance
fo-1981bacf59b2464a Imprecise chemical mixture
Source
agribalyse algorithm addition
Unit
kg
Context
Environmental → Water → River
CAS
53467-11-1
EC

Context

Dimension
Environmental
Media
Water
Water body
River

Source lists

1
List Version Source flow Name there Why this flow
agribalyse 3.2 379b5e1c-1830-53af-bf3b-7512b05fa801 2,4-D ester This substance answers to the name the row carries; no flow of this substance sat in that compartment, so this one was created for the row.

Concept associations

1
Source list Source flow Name there Compartment there Match Conversion
agribalyse 3.2 379b5e1c-1830-53af-bf3b-7512b05fa801 2,4-D Ester Emissions to water / river exactMatch

History

The change log and the PROV-O trail (0 consensus changes)

Open the changes page

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Full record

Flow JSON
{
  "uuid": "c65f51cb2a5e49d7f8aaa4a436e96a6ade6144bd",
  "identifier": "",
  "name": "2,4-D Ester",
  "source": "agribalyse algorithm addition",
  "cas_numbers": [
    "53467-11-1"
  ],
  "ec_numbers": [],
  "context": {
    "dimension": "Environmental",
    "media": "Water",
    "water_body": "River"
  },
  "synonyms": [],
  "lcia_methods": [],
  "unit": "kg",
  "input_datasets": [],
  "prefLabel": [
    {
      "@value": "2,4-D Ester",
      "@language": "en",
      "@lang": "en",
      "provenance": {
        "prov:wasGeneratedBy": "bootstrap_labels",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "ecoinvent-3.12"
        ],
        "prov:wasDerivedFrom": "legacy name field"
      }
    }
  ],
  "altLabel": [],
  "context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive",
  "unit_iri": "https://vocab.brightway.one/units/unit/KiloGM",
  "flow_object_id": "fo-1981bacf59b2464a",
  "properties": {},
  "references": [
    {
      "@id": "https://commonchemistry.cas.org/detail?cas_rn=53467-11-1",
      "provenance": {
        "prov:wasGeneratedBy": "enrich_references.consensus_cas_link",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "53467-11-1"
        ],
        "prov:wasDerivedFrom": "cas_numbers"
      }
    }
  ],
  "concept_associations": [
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/agribalyse/3.2/flow/379b5e1c-1830-53af-bf3b-7512b05fa801",
        "skos:prefLabel": "2,4-D Ester",
        "context": "Emissions to water / river",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:exactMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/c65f51cb2a5e49d7f8aaa4a436e96a6ade6144bd"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/c65f51cb2a5e49d7f8aaa4a436e96a6ade6144bd"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_agribalyse",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "agribalyse:3.2:379b5e1c-1830-53af-bf3b-7512b05fa801",
          "2,4-D Ester",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=label:2,4-D Ester",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=8",
          "algorithm.selector_reason=new-elementary-flow-created",
          "algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto",
          "algorithm.winning_score=3",
          "algorithm.tie_on_top_score=true"
        ],
        "prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(label:2,4-D Ester);flow_object_candidates(1);elementary_candidates(8);selector(new-elementary-flow-created);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
      }
    }
  ],
  "_sources": {},
  "cas_match_labels": {},
  "general_comment": "",
  "_transformed": false,
  "_provided": {
    "name": null,
    "synonyms": [],
    "context": [],
    "cas_numbers": [],
    "ec_numbers": [],
    "unit": null
  },
  "elementary_flow_id": "c65f51cb2a5e49d7f8aaa4a436e96a6ade6144bd",
  "@type": [
    "https://w3id.org/chemrof/ImpreciseChemicalMixture"
  ]
}

Something wrong here?

A flow can be wrong in three ways, and they are decided differently. Pick the one that matches what you are looking at.

You do not need to run a build or clone anything. Name the row and say what your evidence is; the measurement is done for you. How contributing works

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