{"id":"W4237691037","doi":"10.1515/iupac.79.1138","title":"Detoxification","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Forensic toxicology; Computer science; Chemistry; 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":[0.001482636,0.001891001,0.001484951,0.00271566,0.0009749087,0.00312335,0.002998678,0.001763571,0.1669092],"category_scores_gemma":[0.00996356,0.0005653654,0.002023726,0.0042811,0.0003536804,0.002070476,0.002074345,0.001742393,0.2125868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463197,"about_ca_system_score_gemma":0.002817815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01427314,"about_ca_topic_score_gemma":0.03005511,"domain_scores_codex":[0.9979761,0.0003499774,0.0002850348,0.0007595622,0.0004173272,0.0002120001],"domain_scores_gemma":[0.9963819,0.000830001,0.0003600731,0.001045382,0.001108698,0.0002740074],"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":[0.0001652918,0.00002754345,0.001603702,0.0009608596,0.000053689,0.00002328873,0.00002022403,0.0001975622,0.0001062229,0.0007584501,0.9868378,0.009245456],"study_design_scores_gemma":[0.0001767138,0.00002322437,0.0033397,0.0004514078,0.00004915484,0.00007070963,0.00006098027,0.000248345,0.0002301848,0.001647645,0.9936771,0.00002473833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001775489,0.0001765354,0.000158129,0.0001310618,0.00005863995,0.00003125684,0.9964126,0.0004489701,0.002405301],"genre_scores_gemma":[0.000483073,0.0001269487,0.0004167882,0.0001956643,0.0000153613,0.0001067382,0.9965692,0.00008934243,0.001996991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1669092,"threshold_uncertainty_score":0.558367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497331949640906,"score_gpt":0.3958684706122256,"score_spread":0.3808951511158166,"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."}}