{"id":"W4242337225","doi":"10.1515/iupac.88.0412","title":"Adrenaline","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; 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":[0.0007481538,0.001330924,0.001224627,0.003156296,0.0005951063,0.002348944,0.00140323,0.001194954,0.1287735],"category_scores_gemma":[0.006705489,0.0004971144,0.001513712,0.004901783,0.0003201981,0.001921033,0.001427845,0.00157315,0.1005421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009786596,"about_ca_system_score_gemma":0.001569887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378998,"about_ca_topic_score_gemma":0.02511146,"domain_scores_codex":[0.9986092,0.0002095906,0.0003600399,0.000441917,0.0002655506,0.000113692],"domain_scores_gemma":[0.997237,0.0008850731,0.0005144188,0.0005749427,0.000636102,0.0001524272],"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":[0.0007639598,0.00005838151,0.005533557,0.007266642,0.0001763826,0.0001032605,0.00006104737,0.0004174131,0.0005839517,0.001277758,0.9308392,0.05291834],"study_design_scores_gemma":[0.0001917138,0.00003364,0.009135951,0.0009723605,0.00008014573,0.0001913775,0.00005547664,0.0001512691,0.0003434012,0.001325958,0.9874835,0.00003524514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004693395,0.001379001,0.000233928,0.0001723698,0.0001181033,0.00005158333,0.9916471,0.000430383,0.005498062],"genre_scores_gemma":[0.002300097,0.00157814,0.0009889083,0.0003813874,0.00006211685,0.0001982601,0.9900852,0.0001197795,0.004286069],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1287735,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224542158132216,"score_gpt":0.460967744115847,"score_spread":0.4487223225345248,"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."}}