{"id":"W4230285202","doi":"10.1515/iupac.81.0754","title":"Receptor","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; 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":[0.001519217,0.001934047,0.001369403,0.003263019,0.00121782,0.00349766,0.003221227,0.002257426,0.1441763],"category_scores_gemma":[0.01124851,0.0005630503,0.001710679,0.004823229,0.0004658776,0.00282715,0.002562051,0.002290239,0.2412011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043556,"about_ca_system_score_gemma":0.00304388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072337,"about_ca_topic_score_gemma":0.04226074,"domain_scores_codex":[0.9972563,0.0004747912,0.0003038915,0.001006459,0.0005977722,0.0003608578],"domain_scores_gemma":[0.9963074,0.0007764604,0.0003113259,0.00104345,0.001236879,0.0003245878],"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":[0.00007484117,0.00001975894,0.001235345,0.000492176,0.00002091183,0.00002189076,0.00002247356,0.0001750815,0.0000857965,0.0008766897,0.9922471,0.004727909],"study_design_scores_gemma":[0.0001061453,0.00001786273,0.002234179,0.0003362735,0.00002143393,0.00009079587,0.000101111,0.0003564125,0.0002363501,0.001885644,0.9945906,0.00002320696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002071603,0.0001689916,0.0001669134,0.0002040275,0.00007370595,0.00002890906,0.9961656,0.0004090817,0.00257555],"genre_scores_gemma":[0.0004701544,0.00009339732,0.0003832856,0.0001656688,0.00001158888,0.00008456306,0.997058,0.00006204384,0.001671215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1441763,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009624288748122016,"score_gpt":0.3515211992841307,"score_spread":0.3418969105360087,"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."}}