{"id":"W2122864632","doi":"10.1074/jbc.m409699200","title":"NARC-1/PCSK9 and Its Natural Mutants","year":2004,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":625,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Montreal Clinical Research Institute","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"PCSK9; LDL receptor; Missense mutation; Mutant; Biology; Chemistry; Endocrinology; Lipoprotein; Molecular biology; Internal medicine; Mutation; Cholesterol; Biochemistry; Gene; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002996198,0.00008900848,0.000315105,0.00001296826,0.00003429225,0.000007596328,0.00006012785,0.0001364195,0.00006082388],"category_scores_gemma":[0.000241032,0.00005072267,0.0001854627,0.00006338552,0.0000458556,0.0000310136,0.00002797236,0.0003909077,0.000003177534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005812282,"about_ca_system_score_gemma":0.00009404997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001599757,"about_ca_topic_score_gemma":6.812282e-8,"domain_scores_codex":[0.9992591,0.0000127469,0.0002530748,0.0001049511,0.0002164516,0.0001536409],"domain_scores_gemma":[0.9994626,0.0000146759,0.000113391,0.00009052989,0.0001163213,0.0002024615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003826027,0.0001800738,0.002055258,0.0002255522,0.0002098115,0.001073739,0.00004483854,0.000002970482,0.980958,0.00002988236,0.00005625018,0.01478099],"study_design_scores_gemma":[0.004878,0.0007192922,0.03856409,0.0003369709,0.00010242,0.01838601,0.0001738643,0.000007613076,0.930697,0.0006618088,0.005282212,0.0001906934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883339,0.01001968,0.00001632125,0.0009728204,0.00007193386,0.00005768102,0.000001755199,0.000009195242,0.0005166588],"genre_scores_gemma":[0.997926,0.00072565,0.0003559708,0.0003016222,0.0006186718,7.468099e-7,0.0000017177,0.000004461876,0.00006515452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.050261,"threshold_uncertainty_score":0.2068411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138047013164559,"score_gpt":0.2724832459194593,"score_spread":0.2511027757878137,"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."}}