{"id":"W4253498872","doi":"10.1515/iupac.73.0118","title":"Carnitine","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Food science; Product (mathematics); Chemistry; Commission; Biochemistry; Human nutrition; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Data mining","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":[0.0006274386,0.001297485,0.001388423,0.00285423,0.0007118949,0.001766633,0.001520334,0.001514698,0.04180829],"category_scores_gemma":[0.004411196,0.0003713562,0.001155229,0.004914713,0.0003169898,0.0009082664,0.001178247,0.001193166,0.02800039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253903,"about_ca_system_score_gemma":0.002786488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01715242,"about_ca_topic_score_gemma":0.03534901,"domain_scores_codex":[0.9992158,0.0001059247,0.0001296846,0.000317329,0.0001403985,0.00009069789],"domain_scores_gemma":[0.9986036,0.0004025967,0.0003533113,0.0002613814,0.0002417145,0.0001373746],"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":[0.002183385,0.00009284516,0.01687581,0.01054208,0.0005693143,0.0003323502,0.00009229499,0.0008271704,0.00124064,0.00261245,0.9346528,0.02997885],"study_design_scores_gemma":[0.0004897693,0.00006464853,0.02257118,0.001876595,0.0003533763,0.0005084261,0.00007618155,0.0002404237,0.000961764,0.002010725,0.9707968,0.00005010948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007255764,0.001048335,0.00008430643,0.0001027416,0.00002714271,0.00001620305,0.9966455,0.0001119649,0.001238196],"genre_scores_gemma":[0.002100012,0.0009025093,0.0003793536,0.0001609916,0.00001336557,0.00008887333,0.9950979,0.00003674124,0.001220252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04180829,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007440270324419225,"score_gpt":0.3664062800094479,"score_spread":0.3589660096850287,"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."}}