{"id":"W2933682386","doi":"10.1101/596213","title":"Copy number variant syndromes are frequent in schizophrenia: progressing towards a CNV-schizophrenia model","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital; Centre for Addiction and Mental Health","funders":"","keywords":"Copy-number variation; Schizophrenia (object-oriented programming); Phenotype; Single-nucleotide polymorphism; Cohort; Genetics; Biology; Medicine; Psychiatry; Gene; Genotype; Internal medicine; 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":[0.0008910716,0.0005924301,0.0004891248,0.002034827,0.0003707468,0.0006938163,0.0004019044,0.0005493035,0.002334205],"category_scores_gemma":[0.001957107,0.0001915849,0.0003706204,0.001200432,0.000836172,0.0006223094,0.0009718993,0.0004619483,0.000286663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492992,"about_ca_system_score_gemma":0.0004546556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003828984,"about_ca_topic_score_gemma":0.003032207,"domain_scores_codex":[0.999579,0.00009815118,0.00003241235,0.0001523385,0.00009049736,0.00004766203],"domain_scores_gemma":[0.9993622,0.0001947456,0.0002413259,0.00007833437,0.00005792585,0.00006549039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001318926,0.00008891985,0.8150367,0.0002460937,0.0005350844,0.007898453,0.001019039,0.004040925,0.09272388,0.01768561,0.001689227,0.05771719],"study_design_scores_gemma":[0.0001546877,0.0006609673,0.8531,0.0001708296,0.0007705362,0.0307605,0.001289082,0.03710146,0.01623717,0.05352923,0.006106326,0.0001192496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788294,0.002074686,0.01543282,0.0008236482,0.00002249017,0.00003529687,0.0006006804,0.0001448345,0.002036098],"genre_scores_gemma":[0.9965293,0.0006101527,0.002268084,0.00006365462,0.00002695749,0.00000982146,0.0002325853,0.00001389411,0.000245552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003828984,"threshold_uncertainty_score":0.007808685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361797163534526,"score_gpt":0.2274275871813232,"score_spread":0.2138096155459779,"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."}}