{"id":"W4200489650","doi":"10.1016/j.atherosclerosis.2021.11.032","title":"Polygenic architecture and cardiovascular risk of familial combined hyperlipidemia","year":2021,"lang":"en","type":"article","venue":"Atherosclerosis","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Medical Research Council; Canadian Institutes of Health Research; University of British Columbia; British Heart Foundation; Michael Smith Health Research BC","keywords":"Dyslipidemia; Genetics; Hazard ratio; Medicine; Genetic architecture; Disease; Internal medicine; Phenotype; Confidence interval; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001428138,0.0006186332,0.000533512,0.002031411,0.0007848223,0.0008685506,0.0005514015,0.001019217,0.003825109],"category_scores_gemma":[0.002847497,0.0004683848,0.001025714,0.001453477,0.0005996501,0.0005260505,0.0008514378,0.0007950615,0.0002640744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002419704,"about_ca_system_score_gemma":0.0003765131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005726708,"about_ca_topic_score_gemma":0.006151324,"domain_scores_codex":[0.998516,0.0008582106,0.00008671195,0.0002550921,0.0001242441,0.0001597378],"domain_scores_gemma":[0.9975439,0.0009397367,0.0006162253,0.0003658124,0.0001930168,0.0003412853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000878464,0.0001145057,0.9859771,0.00001606652,0.001461815,0.0008752962,0.0002424759,0.0007315609,0.004604742,0.0008646018,0.0001255917,0.004107716],"study_design_scores_gemma":[0.00001615809,0.00009213644,0.9939314,0.000009830258,0.0004035507,0.0008709708,0.0001246077,0.003274926,0.0001710724,0.0009743987,0.0001165195,0.00001443099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973304,0.0004687993,0.00101138,0.0001551575,0.00001004934,0.000003729835,0.00009996022,0.00001889461,0.0009015668],"genre_scores_gemma":[0.9993518,0.00007492425,0.0002524619,0.00001344185,0.00001729092,0.000002574307,0.00005522408,0.000004919661,0.0002272986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005726708,"threshold_uncertainty_score":0.01279622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264455124556326,"score_gpt":0.2200940388310031,"score_spread":0.2074494875854398,"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."}}