{"id":"W2911689963","doi":"10.1016/j.atherosclerosis.2019.01.015","title":"Chylomicrons: When you can't direct the wind, adjust the sail","year":2019,"lang":"en","type":"letter","venue":"Atherosclerosis","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"Novo Nordisk; Sanofi; Pfizer; Amgen","keywords":"Medicine; Hypertriglyceridemia; Genetic testing; Pancreatitis; Chylomicron; Disease; Familial hypercholesterolemia; Internal medicine; Very low-density lipoprotein; Triglyceride; Lipoprotein","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004936227,0.0006890348,0.0009533743,0.00009758597,0.0003481823,0.000151417,0.0009721402,0.0008557733,0.0009269249],"category_scores_gemma":[0.0001986527,0.0003448553,0.0006577863,0.0002591622,0.0004346628,0.00007572397,0.0002269376,0.002167983,0.001207176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208387,"about_ca_system_score_gemma":0.000336889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880746,"about_ca_topic_score_gemma":0.00009928158,"domain_scores_codex":[0.9968009,0.000280355,0.0004981555,0.0007753853,0.0007743299,0.0008708727],"domain_scores_gemma":[0.996581,0.0004990944,0.0003139803,0.002401504,0.0001203369,0.00008413062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002746209,0.00004441372,0.003074961,0.0001199319,0.0003065787,0.000004033561,0.001384081,0.000001366043,0.0006688114,0.00001111108,0.9917223,0.00263493],"study_design_scores_gemma":[0.001340248,0.00006770956,0.01076539,0.0002334118,0.001066004,0.00001210544,0.0003375822,0.00000398187,0.0002485715,0.0000431088,0.9854568,0.0004251196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01212665,0.00535492,0.000004470112,0.953331,0.003001624,0.002037804,0.000386763,0.0001806948,0.02357605],"genre_scores_gemma":[0.01320443,0.002226998,0.00005167379,0.9068817,0.008240093,0.0001506377,0.0003305207,0.000252546,0.06866136],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04644928,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388770999029554,"score_gpt":0.2227469704846143,"score_spread":0.1988592604943187,"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."}}