{"id":"W2069902410","doi":"10.3389/fneur.2014.00238","title":"MicroRNA Dysregulation, Gene Networks, and Risk for Schizophrenia in 22q11.2 Deletion Syndrome","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto; Centre for Addiction and Mental Health; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"microRNA; Schizophrenia (object-oriented programming); Genetics; Gene; Biology; Candidate gene; Gene regulatory network; Gene silencing; Computational biology; Gene expression; Medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003588887,0.0001171447,0.0001825226,0.0001548584,0.00004951787,0.00001271959,0.0001129558,0.0002295522,0.000002030243],"category_scores_gemma":[0.0001721095,0.000130253,0.00003663299,0.0001221816,0.0001022277,0.000004363759,0.00008933934,0.0001799898,0.000001281585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009868785,"about_ca_system_score_gemma":0.00002215245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003109764,"about_ca_topic_score_gemma":0.0003226434,"domain_scores_codex":[0.9987681,0.0002419792,0.0001919558,0.0004121181,0.00005500555,0.000330841],"domain_scores_gemma":[0.9995965,0.00004115792,0.00004502191,0.0002245482,0.00003373764,0.00005900778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002530086,0.00008319638,0.8973015,0.00004540355,0.00004908674,0.00002604325,0.00002441591,0.004543816,0.0366279,0.00005706339,0.004157368,0.05455413],"study_design_scores_gemma":[0.004078637,0.001676238,0.8716531,0.000007699773,0.00001941116,0.0001911722,0.00000551636,0.0931057,0.00270588,0.001640519,0.02458564,0.0003305274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640417,0.00136403,0.0336719,0.0001862858,0.0003295135,0.0003682401,0.000009070403,0.000007073914,0.00002214439],"genre_scores_gemma":[0.9962716,0.00042305,0.002828747,0.000158325,0.0001113147,0.00005731116,0.00006772045,0.00002336423,0.00005853186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08856189,"threshold_uncertainty_score":0.5311562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004230285156285381,"score_gpt":0.2189444645319517,"score_spread":0.2147141793756663,"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."}}