{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007677821,0.0002761037,0.0004155613,0.001380213,0.0002680467,0.0005326863,0.0003246289,0.0004616345,0.002903992],"category_scores_gemma":[0.008375295,0.0001097781,0.0003706128,0.001820252,0.0003324388,0.0002252619,0.0003755601,0.0002713051,0.0003142642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361055,"about_ca_system_score_gemma":0.0001978889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002650187,"about_ca_topic_score_gemma":0.002197764,"domain_scores_codex":[0.9981807,0.0004880299,0.000144022,0.0006271871,0.0004667458,0.00009338004],"domain_scores_gemma":[0.9976267,0.001517192,0.0003573083,0.0002368252,0.0001626046,0.00009942984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001000217,0.00008397872,0.7844494,0.000268987,0.001180338,0.003480302,0.0005027818,0.003260309,0.08377773,0.005205688,0.002938203,0.1138519],"study_design_scores_gemma":[0.000053902,0.0001601307,0.9668086,0.00004367849,0.0003658917,0.007463564,0.00007254166,0.00488048,0.007859674,0.005306408,0.006939443,0.00004563345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747161,0.002806082,0.01128734,0.0006076897,0.00007754071,0.0000743124,0.005148813,0.0001716131,0.005110465],"genre_scores_gemma":[0.9917457,0.0004192214,0.004870152,0.0001107354,0.0000339385,0.00004332714,0.00216056,0.00003098755,0.0005855055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002903992,"threshold_uncertainty_score":0.009714842,"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."}}