Ferbam
4b0e2c7f-b5cd-5cb1-b1e9-0bae030468a3
ecoinvent 3.12
algorithm- Name
- Ferbam
- Context
- air → non-urban air or from high stacks
- Unit
- kg
- CAS
- 14484-64-1
- EC
- 238-484-2
- Basis
- cas 14484-64-1
- Method
- algorithm
- Substance
- fo-7e90e275ef6ce007
- Target flow
- ea06a03d-23ce-4c74-aa4c-fbb7d2f8cfee
What it could have been
1 flow between them, 6 of them eligible after the dimension and media filter, 7 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Ferbam | kg | Environmental → Air → Medium stack, <150 meters → Rural (<1000 people/square mile) | 4 | ea06a03d-23ce-4c74-aa4c-fbb7d2f8cfee |
Everything this outcome recorded
{
"source_uuid": "4b0e2c7f-b5cd-5cb1-b1e9-0bae030468a3",
"source_name": "Ferbam",
"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": "14484-64-1",
"source_ec": "238-484-2",
"flow_object_id": "fo-7e90e275ef6ce007",
"target_name": "Ferbam",
"target_elementary_flow_id": "ea06a03d-23ce-4c74-aa4c-fbb7d2f8cfee",
"target_context": [
"Environmental",
"Air",
"Medium stack, <150 meters",
"Rural (<1000 people/square mile)"
],
"target_unit": "kg",
"basis": "cas",
"basis_value": "14484-64-1",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 13,
"eligible_candidate_count": 6,
"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": "ea06a03d-23ce-4c74-aa4c-fbb7d2f8cfee",
"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": "ea06a03d-23ce-4c74-aa4c-fbb7d2f8cfee",
"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:3.12:4b0e2c7f-b5cd-5cb1-b1e9-0bae030468a3",
"Ferbam",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:14484-64-1",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=13",
"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:14484-64-1);flow_object_candidates(1);elementary_candidates(13);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}