Fenoxaprop
f28d5dfb-632d-469b-b0c2-a55ce78155ff
Present in 2 source lists
Each list resolved it independently. Where they disagree, that is a conflict.
ecoinvent 3.12
created- Name
- Fenoxaprop
- Context
- air → non-urban air or from high stacks
- Unit
- kg
- CAS
- 95617-09-7
- EC
- —
- Method
- flow_object_creation
- Substance
- fo-881108f8ec6da490
- Target flow
- c6852e30e83ef76f8cb5e80b83342c029a74b59d
Everything this outcome recorded
{
"source_uuid": "f28d5dfb-632d-469b-b0c2-a55ce78155ff",
"source_name": "Fenoxaprop",
"source_context": [
"air",
"non-urban air or from high stacks"
],
"source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-mest15me-ru10pesq",
"source_unit": "kg",
"source_cas": "95617-09-7",
"source_ec": "",
"flow_object_id": "fo-881108f8ec6da490",
"flow_object_label": "Fenoxaprop",
"flow_object_cas": [
"95617-09-7"
],
"flow_object_ec": [],
"new_elementary_flow_id": "c6852e30e83ef76f8cb5e80b83342c029a74b59d",
"minted_flow_object": false,
"identity_is_name_only": false,
"provenance": {
"prov:wasGeneratedBy": "merge_ecoinvent",
"prov:wasAttributedTo": "consensus-flow-list",
"prov:hadPrimarySource": [
"ecoinvent:3.12:f28d5dfb-632d-469b-b0c2-a55ce78155ff",
"Fenoxaprop",
""
],
"prov:wasDerivedFrom": "flow_object_creation:no-flow-object-candidate"
},
"has_unit_mismatch": false,
"unit_decision": {
"units": [
"kg"
],
"declared": "kg",
"decided_by": "unit_table"
}
}
ecoinvent 3.8
algorithm- Name
- Fenoxaprop
- Context
- air → non-urban air or from high stacks
- Unit
- kg
- CAS
- 95617-09-7
- EC
- —
- Basis
- cas 95617-09-7
- Method
- algorithm
- Substance
- fo-881108f8ec6da490
- Target flow
- c6852e30e83ef76f8cb5e80b83342c029a74b59d
What it could have been
1 flow between them, 1 of them eligible after the dimension and media filter, 1 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Fenoxaprop | kg | Environmental → Air → Medium stack, <150 meters → Rural (<1000 people/square mile) | 0 | c6852e30e83ef76f8cb5e80b83342c029a74b59d |
Everything this outcome recorded
{
"source_uuid": "f28d5dfb-632d-469b-b0c2-a55ce78155ff",
"source_name": "Fenoxaprop",
"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": "kg",
"source_cas": "95617-09-7",
"source_ec": "",
"flow_object_id": "fo-881108f8ec6da490",
"target_name": "Fenoxaprop",
"target_elementary_flow_id": "c6852e30e83ef76f8cb5e80b83342c029a74b59d",
"target_context": [
"Environmental",
"Air",
"Medium stack, <150 meters",
"Rural (<1000 people/square mile)"
],
"target_unit": "kg",
"basis": "cas",
"basis_value": "95617-09-7",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 2,
"eligible_candidate_count": 1,
"filtered_out_context_mismatch_count": 1,
"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": "c6852e30e83ef76f8cb5e80b83342c029a74b59d",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"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": "c6852e30e83ef76f8cb5e80b83342c029a74b59d",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"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:f28d5dfb-632d-469b-b0c2-a55ce78155ff",
"Fenoxaprop",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:95617-09-7",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=2",
"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:95617-09-7);flow_object_candidates(1);elementary_candidates(2);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}