{"id":"W4239733791","doi":"10.1515/iupac.88.0516","title":"Atrichia Congenita","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; Computer science; 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":[0.001008747,0.00110882,0.001247974,0.003931785,0.0007661968,0.001780964,0.001335143,0.0009910053,0.08273153],"category_scores_gemma":[0.006521338,0.0004258438,0.001241978,0.005209783,0.0003685162,0.001333641,0.001511373,0.001250393,0.05179301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007623832,"about_ca_system_score_gemma":0.001630722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169662,"about_ca_topic_score_gemma":0.02493346,"domain_scores_codex":[0.9986804,0.0001979932,0.0003599717,0.0003859361,0.0002550939,0.0001205044],"domain_scores_gemma":[0.9973567,0.0008767414,0.0005846032,0.000609219,0.0004511356,0.0001217346],"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":[0.000347492,0.00004936261,0.005530744,0.004495708,0.0001134049,0.0002612527,0.00005798835,0.0003058455,0.0004333728,0.001015134,0.9518288,0.03556093],"study_design_scores_gemma":[0.0001718415,0.00003231665,0.01668456,0.002089994,0.00009490624,0.0009945817,0.0001336964,0.0001507921,0.0003533139,0.00149593,0.9777539,0.00004411681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006232265,0.0006770642,0.0001877167,0.0001353151,0.00005386777,0.000060347,0.9947605,0.0001850954,0.003316997],"genre_scores_gemma":[0.001597216,0.0008607433,0.0006311672,0.0002217723,0.000017196,0.0001955319,0.9941372,0.00005029678,0.002288885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08273153,"threshold_uncertainty_score":0.2767645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174399454830026,"score_gpt":0.450390125657667,"score_spread":0.4386461311093667,"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."}}