{"id":"W4251729154","doi":"10.1515/iupac.73.0147","title":"Cholesterol Ester","year":2016,"lang":"es","type":"dataset","venue":"IUPAC Standards Online","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Food science; Chemistry; Biochemistry; Organic chemistry; Computer science; Mathematics; Political science; Database; Law","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":[0.0006316611,0.001654456,0.001408451,0.003353898,0.0005987763,0.001919293,0.001782136,0.001697419,0.04735522],"category_scores_gemma":[0.00478995,0.0003982491,0.001303707,0.005418565,0.0002766388,0.001038549,0.001240851,0.001256968,0.06579611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011733,"about_ca_system_score_gemma":0.002188529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154115,"about_ca_topic_score_gemma":0.02447451,"domain_scores_codex":[0.9992082,0.00008545912,0.0001299869,0.0002920079,0.0001787236,0.0001057833],"domain_scores_gemma":[0.9985377,0.0002983531,0.0003047344,0.0003190429,0.0004012728,0.0001389029],"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":[0.0006040517,0.00004793365,0.006582839,0.003849488,0.0001573428,0.0001201206,0.00003482298,0.0003598421,0.0005731894,0.001197255,0.9705682,0.015905],"study_design_scores_gemma":[0.000313771,0.00003595144,0.01398524,0.001016404,0.0001541112,0.0002137558,0.00004898731,0.0002857978,0.0008686339,0.001300962,0.9817437,0.00003270839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003085503,0.0002986628,0.00007220233,0.00006115693,0.00002563729,0.00001438845,0.9980099,0.0001379873,0.001071626],"genre_scores_gemma":[0.0008860727,0.0002929718,0.0002046724,0.00007909131,0.00001261924,0.00004957916,0.9974482,0.00002778062,0.0009989997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04735522,"threshold_uncertainty_score":0.158419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547159615483789,"score_gpt":0.3977032618995961,"score_spread":0.3822316657447583,"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."}}