{"id":"W4255444049","doi":"10.1515/iupac.76.0301","title":"Metabonomics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","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; 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":[],"consensus_categories":[],"category_scores_codex":[0.001586321,0.002497326,0.001806144,0.005617016,0.0009082414,0.00322414,0.002712221,0.001774133,0.07309551],"category_scores_gemma":[0.01011992,0.0007890722,0.002033381,0.008489565,0.0004368309,0.001891515,0.003053157,0.001782609,0.08499166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431063,"about_ca_system_score_gemma":0.002851521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332104,"about_ca_topic_score_gemma":0.02824629,"domain_scores_codex":[0.9980391,0.0003279679,0.0003537051,0.0007230872,0.0004112127,0.0001450115],"domain_scores_gemma":[0.9961951,0.001171852,0.0006240141,0.0009361942,0.0008030859,0.0002697155],"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":[0.0002393719,0.00003737274,0.004448439,0.005309502,0.0002061925,0.0001064728,0.0001016119,0.000659706,0.0006274622,0.001802836,0.9690113,0.01744956],"study_design_scores_gemma":[0.000133737,0.00002167197,0.006639728,0.0008523092,0.00009097269,0.0001284688,0.00006057037,0.0002393841,0.0003812446,0.002062657,0.9893489,0.00004029054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001405092,0.000261658,0.0002353641,0.00005568003,0.00001994341,0.00001585778,0.9978898,0.0004534357,0.0009276497],"genre_scores_gemma":[0.0003539984,0.0002117476,0.0007659902,0.00008577877,0.000008016163,0.00008951365,0.9978471,0.0001021898,0.0005357396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07309551,"threshold_uncertainty_score":0.2445288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009794446903286,"score_gpt":0.3671765904477116,"score_spread":0.3570786459786787,"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."}}