{"id":"W4387501552","doi":"10.1016/j.euroneuro.2023.08.175","title":"70. GENE-BASED ANALYSIS OF RARE CNVS ACROSS SIX PSYCHIATRIC DISORDERS IDENTIFIES COMMON BIOLOGICAL COMPONENTS BUT DISTINCTLY DIFFERENT GENETIC EFFECTS IN AUTISM AND SCHIZOPHRENIA","year":2023,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Hospital for Sick Children","funders":"","keywords":"Schizophrenia (object-oriented programming); Copy-number variation; Bipolar disorder; Major depressive disorder; Autism; Autism spectrum disorder; DISC1; Prefrontal cortex; Attention deficit hyperactivity disorder; Candidate gene; Endophenotype; Psychology; Neuroscience; Genetics; Psychiatry; Biology; Gene; Cognition; Genome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002530138,0.0003058749,0.0002677923,0.001285659,0.0005396064,0.0002972607,0.0002560555,0.000542873,0.003049467],"category_scores_gemma":[0.0009443383,0.0001328845,0.0005925893,0.0005530548,0.0003181163,0.0001433244,0.0004644261,0.0002699407,0.000436299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999122,"about_ca_system_score_gemma":0.000319133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004653763,"about_ca_topic_score_gemma":0.009982684,"domain_scores_codex":[0.9997447,0.00002410726,0.00002040065,0.00009357355,0.00006170547,0.00005545673],"domain_scores_gemma":[0.999553,0.0002177261,0.00006578129,0.00003003524,0.0000446075,0.00008881411],"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":[0.001747316,0.000135801,0.06019026,0.0001327974,0.000297385,0.008077948,0.000638738,0.001089279,0.889006,0.002511407,0.001280286,0.03489273],"study_design_scores_gemma":[0.0003061121,0.0006332677,0.8119692,0.00008820534,0.0007029879,0.02561882,0.0004391527,0.00522907,0.1419629,0.002744967,0.01020922,0.0000961046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988534,0.0003595092,0.004375177,0.0002220437,0.00005821525,0.00004165303,0.001611706,0.0001758062,0.004621907],"genre_scores_gemma":[0.9938256,0.0001092091,0.00365812,0.0001282628,0.00002021714,0.00001839073,0.00136443,0.00003959291,0.0008362171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004653763,"threshold_uncertainty_score":0.01020145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880267719377034,"score_gpt":0.3228827204723199,"score_spread":0.2940800432785495,"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."}}