{"id":"W1840199960","doi":"10.25011/cim.v31i4.4812","title":"COPY NUMBER VARIATION IN METABOLIC SYNDROME","year":2008,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copy-number variation; Penetrance; Mendelian inheritance; Metabolic syndrome; Missing heritability problem; Genetics; Biology; Heritability; Dyslipidemia; Genetic association; Disease; Obesity; Phenotype; Bioinformatics; Single-nucleotide polymorphism; Medicine; Internal medicine; Gene; Endocrinology; Genotype; Genome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002270882,0.0000865484,0.0002069975,0.00002039575,0.00004382887,0.000001738376,0.00004430282,0.0001152022,0.0000815134],"category_scores_gemma":[0.0004893522,0.00006276037,0.00002620164,0.00009412858,0.001962675,0.000005351917,0.00003087215,0.000132223,0.00001591049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001937316,"about_ca_system_score_gemma":0.00002563439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004561553,"about_ca_topic_score_gemma":0.00001116652,"domain_scores_codex":[0.999239,0.00009123505,0.000267409,0.0002340557,0.00007280253,0.00009548716],"domain_scores_gemma":[0.999668,0.00001765743,0.00005878468,0.0001142866,0.00003739582,0.0001038688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006202439,0.00004316106,0.9610309,0.000009538814,0.00004986912,0.00002487526,0.0002895407,0.000001507807,0.02585379,0.004806889,0.006360667,0.001467244],"study_design_scores_gemma":[0.0009717054,0.0003759079,0.9637668,0.00001754122,0.00001559309,0.00009820788,0.00002385877,0.00001551473,0.000901511,0.006723908,0.02700643,0.00008308707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958963,0.0003113437,0.0001206542,0.001863716,0.0003063295,0.00007742314,0.000001403721,0.00000634479,0.001416436],"genre_scores_gemma":[0.9959949,0.000625111,0.0004899,0.001947809,0.0004039285,0.000004224491,0.00002787787,0.000007556846,0.0004986816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02495228,"threshold_uncertainty_score":0.7231559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07044672451657694,"score_gpt":0.3137572233747,"score_spread":0.2433104988581231,"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."}}