{"id":"W2528173920","doi":"10.1016/j.cjca.2015.07.729","title":"TARGETED NEXT-GENERATION SEQUENCING TO DIAGNOSE ABNORMALITIES OF HDL CHOLESTEROL","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sanger sequencing; Medicine; Genetics; Mendelian inheritance; Bioinformatics; Exon; DNA sequencing; Gene; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036668,0.0006149556,0.0006212065,0.001449893,0.0003126108,0.0008727646,0.0005445736,0.001000488,0.001127573],"category_scores_gemma":[0.002949688,0.0002545493,0.0005836127,0.0005581048,0.0001977299,0.000285681,0.0003048623,0.0008502991,0.0003623497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006691907,"about_ca_system_score_gemma":0.0007890128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007430856,"about_ca_topic_score_gemma":0.01204673,"domain_scores_codex":[0.9994554,0.0001303024,0.00004459826,0.0001340453,0.0001790904,0.0000566771],"domain_scores_gemma":[0.999061,0.0004644406,0.00008272118,0.00005472073,0.0002623566,0.00007463933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002584201,0.0005614458,0.4301167,0.0005467276,0.001202719,0.004398234,0.0005714208,0.006783376,0.1407317,0.003574863,0.0213332,0.3875954],"study_design_scores_gemma":[0.001014281,0.002570631,0.5399883,0.001515559,0.003855616,0.01944743,0.001418691,0.1537712,0.1690995,0.02714562,0.0799415,0.0002317859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8515336,0.03456656,0.07975635,0.008096603,0.001524046,0.000433519,0.006244799,0.001317392,0.01652703],"genre_scores_gemma":[0.9458787,0.004877733,0.04037954,0.004326667,0.0003885224,0.0001231616,0.001435577,0.00009824125,0.002491704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007430856,"threshold_uncertainty_score":0.01477522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09572273463424762,"score_gpt":0.2740663778982037,"score_spread":0.178343643263956,"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."}}