{"id":"W3206740620","doi":"10.1016/j.clinbiochem.2021.10.003","title":"Validating the NIH LDL-C equation in a specialized lipid cohort: Does it add up?","year":2021,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Structural equation modeling; Chemistry; Ldl cholesterol; Cohort; Hypertriglyceridemia; Internal medicine; Medicine; Cholesterol; Triglyceride; Mathematics; Statistics","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":[0.1268671,0.003535137,0.005655386,0.00248624,0.002349763,0.01086999,0.005559985,0.0082915,0.002607867],"category_scores_gemma":[0.2606107,0.002158271,0.004740082,0.00332129,0.00300746,0.006878789,0.003323178,0.006044762,0.002369337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787174,"about_ca_system_score_gemma":0.005181037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007836512,"about_ca_topic_score_gemma":0.01575214,"domain_scores_codex":[0.904654,0.05211939,0.0100533,0.01056657,0.01912117,0.003485663],"domain_scores_gemma":[0.751597,0.1586047,0.01621981,0.03980335,0.02998303,0.003792134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004881807,0.0001902064,0.9731566,0.0001864531,0.002208584,0.0001296327,0.0004110654,0.0006386362,0.0002232422,0.0006119161,0.004482625,0.01727294],"study_design_scores_gemma":[0.000463598,0.001996591,0.9337111,0.002077133,0.008478355,0.001327693,0.002434594,0.02190145,0.001952628,0.005478803,0.01989914,0.0002788817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593568,0.02199394,0.0406328,0.03558359,0.01092871,0.001027195,0.005687972,0.0008977832,0.02389114],"genre_scores_gemma":[0.9522238,0.002053023,0.02356477,0.01136107,0.002953984,0.0004124695,0.005361384,0.0004448664,0.00162457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1268671,"threshold_uncertainty_score":0.6709455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05800639230386914,"score_gpt":0.3719475895326534,"score_spread":0.3139411972287843,"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."}}