{"id":"W4250624617","doi":"10.1515/iupac.88.0812","title":"Flexure, Hepatic","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005809178,0.0008719608,0.001090681,0.003476228,0.0007151731,0.00398496,0.001331308,0.0009217713,0.4204072],"category_scores_gemma":[0.009742883,0.0004257149,0.0009111128,0.008322769,0.0003926237,0.003288521,0.002035517,0.001179107,0.4372175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009138502,"about_ca_system_score_gemma":0.001651116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009413817,"about_ca_topic_score_gemma":0.01236755,"domain_scores_codex":[0.9990175,0.0001614016,0.000177525,0.0003256253,0.0001854418,0.0001324369],"domain_scores_gemma":[0.9968351,0.0009178821,0.0004505352,0.0007721187,0.000734822,0.0002896],"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":[0.0001036836,0.000007605298,0.001186964,0.001068435,0.00001809568,0.00003420092,0.00002179494,0.00007452664,0.00007339346,0.00105755,0.9777229,0.01863084],"study_design_scores_gemma":[0.00003747788,0.000007559833,0.002321321,0.0004982906,0.00001131727,0.00008387335,0.00004509894,0.00005083393,0.00007671348,0.001222024,0.9956353,0.00001025894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002458471,0.0006472458,0.0002279667,0.0003636136,0.0001665194,0.0000380842,0.9765422,0.0008105857,0.02095794],"genre_scores_gemma":[0.001874728,0.001049674,0.0006129369,0.0007667653,0.0001183438,0.0001171087,0.9789452,0.0004637703,0.01605145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4204072,"threshold_uncertainty_score":0.8267188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229519019867396,"score_gpt":0.4556309446613958,"score_spread":0.4433357544627218,"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."}}