{"id":"W4239284976","doi":"10.1515/iupac.81.0931","title":"Trophic Transfer","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Trophic level; Environmental risk assessment; Relation (database); Ecology; Computer science; Risk assessment; Biology; Data mining; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006469304,0.001875384,0.001275173,0.003605992,0.001233636,0.003351789,0.002177768,0.001546704,0.1242369],"category_scores_gemma":[0.004598388,0.0005794714,0.001804753,0.005889887,0.0003388704,0.002215735,0.00229687,0.00221042,0.1250544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705938,"about_ca_system_score_gemma":0.002014805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02704298,"about_ca_topic_score_gemma":0.0488079,"domain_scores_codex":[0.9992065,0.0001079131,0.00008524719,0.000283707,0.0001641341,0.0001524414],"domain_scores_gemma":[0.9984083,0.0004072654,0.0002057254,0.0004301658,0.0004065415,0.0001419901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001297463,0.00002785083,0.005855062,0.001328771,0.00009237916,0.00005709189,0.00006005864,0.0007497649,0.0002661899,0.002455655,0.9789585,0.01001892],"study_design_scores_gemma":[0.00008633044,0.00001493966,0.007612001,0.0005453568,0.00004656881,0.0001121582,0.0001049594,0.0005339271,0.0002513259,0.003664024,0.9870002,0.00002826042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003468804,0.0001880865,0.0001281436,0.00007759559,0.00004612612,0.000009512311,0.9962836,0.0002412714,0.002678754],"genre_scores_gemma":[0.001442842,0.0002192204,0.0004537452,0.00008507844,0.00001154358,0.00005739007,0.9954727,0.00006948166,0.002187986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1242369,"threshold_uncertainty_score":0.4156138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302467981418226,"score_gpt":0.3705020153608632,"score_spread":0.3574773355466809,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}