{"id":"W4253167613","doi":"10.1515/iupac.88.0514","title":"Atresia, Follicular","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":[{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046914,0.0007602213,0.0009845753,0.002963156,0.0008904524,0.002412884,0.001584124,0.001013196,0.1101731],"category_scores_gemma":[0.01389816,0.000372562,0.001822431,0.00447553,0.000430664,0.002065717,0.001806394,0.001375834,0.0511182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049705,"about_ca_system_score_gemma":0.002147444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980122,"about_ca_topic_score_gemma":0.02865991,"domain_scores_codex":[0.9987199,0.0001775236,0.0003468498,0.0003746707,0.0002489228,0.0001321752],"domain_scores_gemma":[0.9967547,0.001044951,0.0007581741,0.0006711517,0.0006023836,0.0001685412],"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":[0.000490483,0.00003894098,0.01280094,0.005280395,0.0001446407,0.0001216742,0.0001017005,0.0002213615,0.0001269278,0.002022033,0.9257596,0.05289142],"study_design_scores_gemma":[0.000250001,0.00003180216,0.02105333,0.003523379,0.0001757476,0.0005400986,0.0002078128,0.0001786835,0.0001478716,0.003743367,0.9701096,0.00003817846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001499616,0.003081253,0.0004767419,0.0005052353,0.0002614118,0.0001630231,0.9809491,0.0003559675,0.01270762],"genre_scores_gemma":[0.009828938,0.004437224,0.002254213,0.001348449,0.0001891279,0.0008178812,0.9695817,0.0002354606,0.01130705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1101731,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025657373057084,"score_gpt":0.4433013595151314,"score_spread":0.4330447857845606,"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."}}