{"id":"W2062912605","doi":"10.1194/jlr.d800050-jlr200","title":"Determination of lipoprotein(a) kringle repeat number from genomic DNA: copy number variation genotyping using qPCR","year":2008,"lang":"en","type":"article","venue":"Journal of Lipid Research","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; University of Victoria; University of Windsor; Western University","funders":"","keywords":"Genotyping; Copy-number variation; genomic DNA; Genetics; Biology; DNA; Computational biology; Genotype; Genome; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003869289,0.00014184,0.0006089947,0.0002867256,0.0002660548,0.0000271206,0.0001857004,0.0001913535,0.0005181144],"category_scores_gemma":[0.000592184,0.0001209086,0.0003625236,0.0004597679,0.0001213262,0.0002613582,0.000093921,0.0008024311,0.00003984376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005843357,"about_ca_system_score_gemma":0.0009162594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148669,"about_ca_topic_score_gemma":0.00001246557,"domain_scores_codex":[0.9960678,0.0005027757,0.0008864067,0.0002383888,0.001901461,0.0004032331],"domain_scores_gemma":[0.9970927,0.0001571415,0.0004743861,0.0004804251,0.001544403,0.0002509692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002601139,0.001061921,0.156225,0.0009465694,0.001099638,0.001170226,0.005503159,0.000198568,0.7378782,0.0001187359,0.001052367,0.09214449],"study_design_scores_gemma":[0.009528703,0.001469638,0.6740174,0.002517606,0.0005236545,0.01072166,0.0008666315,0.005314121,0.2811831,0.00121822,0.01199829,0.0006410119],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905887,0.0004268803,0.006708297,0.0002378911,0.0003212098,0.0004623956,0.000006342232,0.00001009917,0.001238174],"genre_scores_gemma":[0.9692594,0.0006661165,0.0263642,0.00003630669,0.003415234,0.00000575281,0.000006013986,0.00004208375,0.0002049113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5177923,"threshold_uncertainty_score":0.5672989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08925039594815166,"score_gpt":0.3728037215017629,"score_spread":0.2835533255536113,"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."}}