{"id":"W4255480148","doi":"10.1515/iupac.76.0297","title":"Metabolic Model","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; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008866329,0.002726643,0.001252847,0.002510728,0.0006400104,0.002698952,0.00325893,0.001936871,0.09688744],"category_scores_gemma":[0.006637214,0.0006815653,0.00289988,0.004014316,0.0002835042,0.001789109,0.00135548,0.002103171,0.1017816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525069,"about_ca_system_score_gemma":0.002102694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01682643,"about_ca_topic_score_gemma":0.03254301,"domain_scores_codex":[0.9990381,0.0001833085,0.0001050664,0.0004319012,0.0001529045,0.00008874558],"domain_scores_gemma":[0.9984736,0.0006091262,0.0001240108,0.0004130078,0.0002903464,0.00008999747],"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":[0.0002825311,0.0000659127,0.003173759,0.001747746,0.0001795706,0.00009085305,0.00003198929,0.006542,0.0002824201,0.003413012,0.9664538,0.01773642],"study_design_scores_gemma":[0.000338352,0.00004850407,0.0031716,0.00052872,0.0001153478,0.0001706551,0.00006810125,0.008130971,0.0004656353,0.009598423,0.9773121,0.00005147111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003577748,0.0002658098,0.0008340798,0.000128573,0.00005462358,0.00002820498,0.9949976,0.00155857,0.001774721],"genre_scores_gemma":[0.001016977,0.0001938452,0.001610336,0.00009210681,0.000009637096,0.000109311,0.9958106,0.0001783429,0.0009789125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9031125,"threshold_uncertainty_score":0.3241208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245455797487669,"score_gpt":0.3705780267687993,"score_spread":0.3581234687939226,"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."}}