{"id":"W4231211204","doi":"10.1515/iupac.76.0249","title":"Half Time","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Hazard; Relation (database); Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001057203,0.001648386,0.001321491,0.003175167,0.001008706,0.003410441,0.001925953,0.001544884,0.1977965],"category_scores_gemma":[0.01071247,0.0006493952,0.001582503,0.006392441,0.0003382984,0.003215132,0.002386527,0.001647174,0.2748149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305308,"about_ca_system_score_gemma":0.00200744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685438,"about_ca_topic_score_gemma":0.03041737,"domain_scores_codex":[0.99839,0.0002747902,0.0002615159,0.0005755213,0.0003135812,0.0001846292],"domain_scores_gemma":[0.9959689,0.0009868455,0.0004124315,0.001240048,0.001043167,0.0003485773],"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":[0.00006366515,0.00001172951,0.0006133841,0.0003969399,0.00001779813,0.000009980696,0.00002407015,0.00009245969,0.00004851747,0.0005120776,0.9930592,0.00515034],"study_design_scores_gemma":[0.00008046664,0.00001258423,0.002057552,0.000268127,0.00001596442,0.00003785008,0.00007839638,0.0001668903,0.0001272161,0.001415533,0.9957195,0.00002007781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001234559,0.0001043972,0.0001152,0.0001170804,0.00006045518,0.00001411319,0.9972396,0.0004185853,0.00180712],"genre_scores_gemma":[0.0003911903,0.0001093053,0.0003111073,0.0001301063,0.00001683484,0.00007500761,0.9968768,0.0001496438,0.001939996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8022035,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269558333114601,"score_gpt":0.402352238561247,"score_spread":0.389656655230101,"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."}}