{"id":"W4230240474","doi":"10.1515/iupac.88.1466","title":"Uterotrophic","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; Philosophy; Data mining","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":[0.001055132,0.001370352,0.001177985,0.003120566,0.0009408246,0.002804161,0.001948583,0.001586334,0.139841],"category_scores_gemma":[0.00733584,0.0005453179,0.00156663,0.004633108,0.0003619499,0.002242408,0.002545561,0.001469184,0.1618704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358767,"about_ca_system_score_gemma":0.002316673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01718767,"about_ca_topic_score_gemma":0.03123657,"domain_scores_codex":[0.9984931,0.0002520617,0.0002895065,0.0004721635,0.0003044222,0.0001887061],"domain_scores_gemma":[0.9974195,0.0006553808,0.0003426529,0.0007394071,0.0006598027,0.0001833267],"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":[0.0002174749,0.00002314753,0.002376561,0.00216292,0.00005609745,0.00005014091,0.00005462385,0.0001965016,0.0002339522,0.001407599,0.9785261,0.01469479],"study_design_scores_gemma":[0.00009011156,0.00001312924,0.003253418,0.000644475,0.00002776739,0.00007121806,0.00007290639,0.0001070074,0.0002186325,0.0008752815,0.9946069,0.00001910149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002179004,0.0002935982,0.000157437,0.000128358,0.00007444339,0.00003588405,0.9947425,0.0004069233,0.003942874],"genre_scores_gemma":[0.0007473428,0.0003333652,0.0004853126,0.0002741497,0.00002230213,0.0001462752,0.9946135,0.0001138245,0.003264016],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.139841,"threshold_uncertainty_score":0.4678147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012604552853563,"score_gpt":0.4567642137235619,"score_spread":0.4441596608699989,"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."}}