{"id":"W4404360991","doi":"10.1016/j.metabol.2024.156064","title":"PCSK9 in metabolism and diseases","year":2024,"lang":"en","type":"review","venue":"Metabolism","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Clinical Research Institute","funders":"Labex Immuno-Oncology; Institut Gustave-Roussy; Institut National Du Cancer; National Heart, Lung, and Blood Institute; Institut Universitaire de France; Ligue Contre le Cancer; Fondation pour la Recherche Médicale; Agence Nationale de la Recherche; Université de Paris; Seerave Foundation; Association pour la Recherche sur le Cancer; European Commission; Centre National de la Recherche Scientifique; Equipex","keywords":"PCSK9; LDL receptor; Hyperlipidemia; Cholesterol; Lipid metabolism; Internal medicine; Endocrinology; Biology; Medicine; Lipoprotein; Diabetes mellitus","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"],"consensus_categories":[],"category_scores_codex":[0.0005841006,0.0005761274,0.004228226,0.0006101501,0.00004194223,0.00007085223,0.0001363766,0.0003551858,0.00007000819],"category_scores_gemma":[0.0001141058,0.0003746834,0.001293173,0.0007221698,0.00007565234,0.00007060939,0.0001706334,0.0008186304,0.0002241381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005971546,"about_ca_system_score_gemma":0.000567533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001838762,"about_ca_topic_score_gemma":0.000009851145,"domain_scores_codex":[0.9973032,0.0002489966,0.0007015924,0.0007536324,0.0005298749,0.0004627028],"domain_scores_gemma":[0.9985905,0.00003677834,0.0001079616,0.0008536332,0.0000397837,0.0003714008],"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":[0.000004898498,0.00004549156,0.000001916587,0.03355321,0.0005330086,0.00027959,0.00003909379,1.534021e-8,9.04589e-8,0.00159666,0.0006318234,0.9633142],"study_design_scores_gemma":[0.0005155754,0.00001014394,0.0004428273,0.008457623,0.01541369,0.0003229789,0.00001055237,0.000001490335,2.720458e-7,0.0002261393,0.9742795,0.0003191635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004548364,0.9961506,0.000004794211,0.0001091242,0.001013378,0.001584345,0.0001335125,0.000108689,0.0008500772],"genre_scores_gemma":[0.00001767598,0.9954657,0.000172075,0.0001848014,0.002144317,0.0003843589,0.0001132817,0.0001337979,0.001384013],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9736477,"threshold_uncertainty_score":0.9998705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323792704828925,"score_gpt":0.3393456052097227,"score_spread":0.3061076781614335,"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."}}