{"id":"W2007278892","doi":"10.1016/j.clinbiochem.2004.04.005","title":"Treating low HDL—From bench to bedside","year":2004,"lang":"en","type":"review","venue":"Clinical Biochemistry","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Bench to bedside; Medicine; Coronary heart disease; Population; Cholesterol; Bioinformatics; Computational biology; Internal medicine; Biology; Environmental health; Medical physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008182904,0.0007164727,0.004409857,0.00007255418,0.00007373482,0.00005674561,0.0004645308,0.001501482,0.0003221156],"category_scores_gemma":[0.003182708,0.0005897689,0.004041212,0.000369021,0.0001941591,0.00002487069,0.0002493999,0.001386753,0.0009591316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910935,"about_ca_system_score_gemma":0.001259424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007419625,"about_ca_topic_score_gemma":0.00001356483,"domain_scores_codex":[0.9955,0.0001229139,0.001798167,0.001442279,0.0005590049,0.0005776029],"domain_scores_gemma":[0.9959465,0.0005783779,0.0004051885,0.002019833,0.0001239133,0.0009261655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001298707,0.0002414766,0.00002019836,0.01383618,0.001093914,0.0001708354,0.000007885212,2.224157e-7,0.000003871767,5.245891e-7,0.001576619,0.9830353],"study_design_scores_gemma":[0.001020844,0.0001740406,0.00009065755,0.05710616,0.00440692,0.00005257384,0.00001477602,4.402146e-7,0.000646358,0.0000312893,0.9357961,0.0006598535],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002274649,0.9921198,0.0000283574,0.00009406532,0.0005090224,0.001006285,0.0002218205,0.0001582341,0.00358779],"genre_scores_gemma":[0.0002432547,0.9885413,0.002139546,0.0004279843,0.004849854,0.000169118,0.001495078,0.0001405704,0.001993285],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9823754,"threshold_uncertainty_score":0.9998187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091694651864816,"score_gpt":0.4140214021496493,"score_spread":0.3531044556310011,"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."}}