{"id":"W4241799365","doi":"10.1515/iupac.73.0061","title":"Atherosclerosis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Food science; Chemistry; Biochemistry; Human nutrition; Lipidology; Organic chemistry; Clinical 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":[0.0008126217,0.0009917406,0.001281872,0.002051525,0.0006455521,0.001921876,0.001279356,0.001294027,0.04615502],"category_scores_gemma":[0.005909158,0.0004149343,0.001387573,0.004164537,0.0001688813,0.0008524384,0.0008409791,0.001439397,0.02600226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006688888,"about_ca_system_score_gemma":0.001741437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008405852,"about_ca_topic_score_gemma":0.01509078,"domain_scores_codex":[0.9989588,0.0001269167,0.0001795773,0.0004273149,0.0001863222,0.0001210055],"domain_scores_gemma":[0.9983436,0.0003906898,0.0003569335,0.0003887627,0.0003912008,0.0001287922],"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":[0.001125916,0.00005886679,0.02556033,0.004678207,0.0004853034,0.0001953505,0.00005023575,0.000286373,0.0003605006,0.001537418,0.9356517,0.03000973],"study_design_scores_gemma":[0.0008498367,0.00006732678,0.07979936,0.003060405,0.0008826308,0.001237445,0.0001180527,0.0005271857,0.000791484,0.004967475,0.9076293,0.00006949669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001737845,0.001997742,0.0003287019,0.000263806,0.0001168926,0.00006075951,0.9895709,0.0002148431,0.005708661],"genre_scores_gemma":[0.007821276,0.002068485,0.001035206,0.0004890198,0.0001236681,0.0002996179,0.9835039,0.0000803374,0.004578433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04615502,"threshold_uncertainty_score":0.1544039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138628324973703,"score_gpt":0.3584090326788664,"score_spread":0.3470227494291294,"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."}}