{"id":"W4248197073","doi":"10.1515/iupac.76.0296","title":"Metabolic Half Life, Metabolic Half Time","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Relation (database); Hazard; Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Biology; Philosophy; Linguistics","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":[0.001211533,0.001687981,0.00157953,0.005246086,0.0005244173,0.002560088,0.001708485,0.001177168,0.08996981],"category_scores_gemma":[0.01080811,0.0005480301,0.001420029,0.00936802,0.0003931059,0.002187153,0.001427151,0.001752949,0.07887121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152684,"about_ca_system_score_gemma":0.001920004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008900761,"about_ca_topic_score_gemma":0.01253355,"domain_scores_codex":[0.9984816,0.0002392479,0.0004051674,0.0005235352,0.000261242,0.00008923584],"domain_scores_gemma":[0.9953555,0.001945243,0.00106319,0.0007629903,0.0006679858,0.0002050674],"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":[0.0002153838,0.00003448975,0.002652144,0.005154495,0.00009863678,0.00004307598,0.00004766844,0.0003694422,0.0003095165,0.0009710663,0.9783804,0.01172375],"study_design_scores_gemma":[0.0001456138,0.00002563265,0.005683434,0.0008471644,0.00007216661,0.0001081183,0.00004975719,0.0001532688,0.0002353487,0.001698255,0.9909473,0.00003386208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000113054,0.0002944281,0.0001113431,0.00003387284,0.00002658038,0.00001475626,0.998647,0.0001477724,0.0006112272],"genre_scores_gemma":[0.0005980451,0.0004256177,0.0005527954,0.000108493,0.00001911344,0.0001763551,0.997323,0.0001033896,0.0006933053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08996981,"threshold_uncertainty_score":0.300979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302240861339881,"score_gpt":0.369225562811367,"score_spread":0.3462031541979682,"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."}}