{"id":"W4242511492","doi":"10.1515/iupac.81.0367","title":"Exposure Pathway","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; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Philosophy; Linguistics","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":[0.001098779,0.001706142,0.001351977,0.003035606,0.0007821516,0.002762808,0.002451937,0.00182507,0.1404066],"category_scores_gemma":[0.007909709,0.0005566534,0.002197557,0.00436741,0.000285947,0.002049588,0.002330115,0.002240298,0.1228552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677033,"about_ca_system_score_gemma":0.003125109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01877766,"about_ca_topic_score_gemma":0.03285513,"domain_scores_codex":[0.9986936,0.0002082449,0.0002011045,0.0004949967,0.0002497123,0.0001524356],"domain_scores_gemma":[0.9971032,0.0008824837,0.0003504254,0.0006420842,0.0008178719,0.0002039836],"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":[0.0002255236,0.00003698675,0.003631593,0.003102088,0.0001101162,0.00006330594,0.00004584002,0.0006000753,0.0002555742,0.001698125,0.9775244,0.01270648],"study_design_scores_gemma":[0.00009969578,0.0000168668,0.003757906,0.0006923382,0.00005384902,0.00009884809,0.00006277609,0.000215916,0.0002278097,0.001970929,0.9927806,0.00002252907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001393829,0.0001784671,0.0001396859,0.00009225081,0.00002721024,0.00002231663,0.9974046,0.0001822309,0.001813833],"genre_scores_gemma":[0.0007813428,0.0002678894,0.0005977213,0.0001718506,0.00001030892,0.0001144844,0.9962584,0.00006058583,0.001737445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1404066,"threshold_uncertainty_score":0.469707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227238044699232,"score_gpt":0.3624562500860886,"score_spread":0.3501838696390963,"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."}}