{"id":"W2135142672","doi":"10.1038/ncpendmet0982","title":"A diagnostic algorithm for the atherogenic apolipoprotein B dyslipoproteinemias","year":2008,"lang":"en","type":"review","venue":"Nature Clinical Practice Endocrinology &#38 Metabolism","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université Laval","funders":"","keywords":"Apolipoprotein B; Medicine; Lipoprotein; Algorithm; Triglyceride; Clinical Practice; Intensive care medicine; Cholesterol; Bioinformatics; Internal medicine; Computer science; Physical therapy; Biology","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":[0.002279662,0.002376145,0.003980022,0.007768784,0.000627149,0.00246884,0.003420304,0.002685476,0.002411071],"category_scores_gemma":[0.005235388,0.0006582462,0.001942269,0.003427514,0.001008944,0.002834824,0.001425567,0.00431134,0.003252131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689308,"about_ca_system_score_gemma":0.00229241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003245803,"about_ca_topic_score_gemma":0.003679054,"domain_scores_codex":[0.9987518,0.0002713995,0.0002643645,0.0002306872,0.0004018671,0.00008004014],"domain_scores_gemma":[0.9975137,0.0009433416,0.0002622599,0.0000565999,0.001092641,0.0001315429],"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":[0.0001491545,0.0001274195,0.005420628,0.00252192,0.0002522783,0.001409199,0.00009003987,0.001293084,0.0006972764,0.007087451,0.08271318,0.8982384],"study_design_scores_gemma":[0.0007006528,0.0006026711,0.0363614,0.02071287,0.002810421,0.04156734,0.0007740973,0.015698,0.00407068,0.06172308,0.8144926,0.0004860874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003938511,0.8938469,0.05938945,0.02203494,0.003582922,0.0004101866,0.001214079,0.001298381,0.01428472],"genre_scores_gemma":[0.04504206,0.6994456,0.2182852,0.01654608,0.004985612,0.0007863867,0.005457439,0.0001490917,0.009302592],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007768784,"threshold_uncertainty_score":0.01225692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0621931382615513,"score_gpt":0.436513540038621,"score_spread":0.3743204017770697,"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."}}