{"id":"W2782318315","doi":"10.1097/mol.0000000000000482","title":"Polygenic influences on dyslipidemias","year":2018,"lang":"en","type":"review","venue":"Current Opinion in Lipidology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"","keywords":"Dyslipidemia; Single-nucleotide polymorphism; Biology; Multifactorial Inheritance; Quantitative trait locus; Polygene; Genetics; Genetic association; Population; Genetic variation; Trait; Phenotype; Bioinformatics; Genotype; Medicine; Obesity; Gene; Endocrinology; Environmental health","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":[0.0007096491,0.0008168342,0.001482281,0.001969846,0.000228132,0.001015789,0.0007219139,0.0008516528,0.004471287],"category_scores_gemma":[0.002352342,0.0002192137,0.0006689242,0.002050551,0.0005122909,0.0009135572,0.0006957,0.001232214,0.001095857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750324,"about_ca_system_score_gemma":0.001862295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011581,"about_ca_topic_score_gemma":0.001302922,"domain_scores_codex":[0.9996959,0.00007684196,0.00005888161,0.00006048087,0.00008496647,0.00002291594],"domain_scores_gemma":[0.9989628,0.000634096,0.0001758198,0.00002304441,0.0001561528,0.00004823573],"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":[0.0001025833,0.00002878774,0.0006473485,0.04242318,0.0004036984,0.0002866046,0.00009398967,0.0004050488,0.0006022913,0.004554395,0.03783452,0.9126176],"study_design_scores_gemma":[0.00002723495,0.00007732966,0.004642898,0.03016381,0.0008454341,0.003088595,0.0001233702,0.0001154419,0.0003786751,0.005462374,0.9550369,0.00003789632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000794107,0.9988092,0.00007111843,0.0003890314,0.0001752414,0.000002729856,0.00002389593,0.000005337769,0.000444051],"genre_scores_gemma":[0.0005130484,0.9989237,0.00005835149,0.0001485771,0.0001878722,0.000002827756,0.00002582427,0.000001097355,0.0001386383],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004471287,"threshold_uncertainty_score":0.0149579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1383694233066798,"score_gpt":0.4360223925521858,"score_spread":0.297652969245506,"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."}}