{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006829564,0.001274352,0.002270912,0.002658973,0.0002722213,0.001444549,0.0007950501,0.001354372,0.008650441],"category_scores_gemma":[0.001237025,0.0003314799,0.000748223,0.003152227,0.0004199753,0.001284649,0.001249683,0.001960236,0.003093241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007222326,"about_ca_system_score_gemma":0.001737934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165502,"about_ca_topic_score_gemma":0.003444349,"domain_scores_codex":[0.9997572,0.00003741499,0.00004974989,0.00003459367,0.00009025852,0.00003090146],"domain_scores_gemma":[0.999616,0.0001644588,0.00007191816,0.00001225991,0.00008223682,0.00005299956],"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":[0.0002102364,0.00005554408,0.0001373107,0.0192173,0.0002486056,0.0001125323,0.00001906293,0.0002729328,0.0005950024,0.001428348,0.05037199,0.9273311],"study_design_scores_gemma":[0.0001860669,0.0001346211,0.001361598,0.009227415,0.0007221321,0.0006426614,0.00004243957,0.0001769633,0.000256061,0.002380613,0.9848403,0.00002915438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006354252,0.9980945,0.00008078945,0.0003703526,0.0005170555,0.000004614014,0.00003358766,0.00001026606,0.0008252041],"genre_scores_gemma":[0.0003754225,0.9978626,0.0001250151,0.0003127441,0.0005378504,0.000005623239,0.00005149759,0.000001530199,0.0007276728],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008650441,"threshold_uncertainty_score":0.02893865,"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."}}