Waste Water
485cd14a-1e3c-5702-b89b-78a5790d1489
agribalyse 3.2
algorithm- Name
- Waste Water
- Context
- Emissions to water
- Unit
- m3
- CAS
- —
- EC
- —
- Basis
- material waste_water
- Method
- algorithm
- Substance
- fo-2b365acb5bbf1d1b
- Target flow
- 1dab0144b038d080efae690613048e55dc8d60bc
What it could have been
1 flow between them, 3 of them eligible after the dimension and media filter.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Waste water | m3 | Environmental → Water → Unknown | 0 | 1dab0144b038d080efae690613048e55dc8d60bc |
Everything this outcome recorded
{
"source_uuid": "485cd14a-1e3c-5702-b89b-78a5790d1489",
"source_name": "Waste Water",
"source_context": [
"Emissions to water"
],
"source_context_normalized": [
"Environmental",
"Water"
],
"source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-unkn",
"source_unit": "m3",
"source_cas": "",
"source_ec": "",
"flow_object_id": "fo-2b365acb5bbf1d1b",
"target_name": "Waste water",
"target_elementary_flow_id": "1dab0144b038d080efae690613048e55dc8d60bc",
"target_context": [
"Environmental",
"Water",
"Unknown"
],
"target_unit": "m3",
"basis": "material",
"basis_value": "waste_water",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 3,
"eligible_candidate_count": 3,
"filtered_out_context_mismatch_count": 0,
"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": "1dab0144b038d080efae690613048e55dc8d60bc",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "m3",
"context": [
"Environmental",
"Water",
"Unknown"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-unkn"
}
],
"scored_candidates": [
{
"elementary_flow_id": "1dab0144b038d080efae690613048e55dc8d60bc",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "m3",
"context": [
"Environmental",
"Water",
"Unknown"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-unkn"
}
],
"winning_score": null,
"tie_on_top_score": false,
"source_context_original": [
"Emissions to water"
],
"source_context_normalized": [
"Environmental",
"Water"
],
"source_context_used_for_matching": [
"Environmental",
"Water"
],
"source_context_matching_basis": "normalized"
},
"provenance": {
"prov:wasGeneratedBy": "merge_agribalyse",
"prov:wasAttributedTo": "consensus-flow-list",
"prov:hadPrimarySource": [
"agribalyse:3.2:485cd14a-1e3c-5702-b89b-78a5790d1489",
"Waste Water",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=material:waste_water",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=3",
"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(material:waste_water);flow_object_candidates(1);elementary_candidates(3);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}