{"id":"W2151009639","doi":"10.1007/s00439-010-0837-0","title":"Outcome of array CGH analysis for 255 subjects with intellectual disability and search for candidate genes using bioinformatics","year":2010,"lang":"en","type":"article","venue":"Human Genetics","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital; Kingston Health Sciences Centre; University of British Columbia; Royal Columbian Hospital; Child and Family Research Institute; Queen's University","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; Autism Speaks","keywords":"Candidate gene; Biology; Gene; Copy-number variation; Genetics; Computational biology; Bioinformatics; Genome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005029718,0.0003454481,0.0005142993,0.001096195,0.0007080471,0.0003597071,0.0002172126,0.0004750141,0.00172825],"category_scores_gemma":[0.001526726,0.0001611547,0.0006426659,0.0006681166,0.0004343816,0.0001423754,0.0002539597,0.0002440852,0.0003357348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144564,"about_ca_system_score_gemma":0.0003946559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421318,"about_ca_topic_score_gemma":0.006545427,"domain_scores_codex":[0.9996735,0.00006584879,0.00002889423,0.0001001807,0.00006765353,0.00006391359],"domain_scores_gemma":[0.9995003,0.0002583665,0.00005004518,0.00003784351,0.00007876247,0.00007475023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002001159,0.0001334067,0.9815461,0.00002181108,0.0001177166,0.003217491,0.0002469843,0.0007051794,0.005602893,0.00009289155,0.0003733789,0.005940993],"study_design_scores_gemma":[0.00005212763,0.0004176664,0.9942128,0.000002884753,0.0001369797,0.00171589,0.0002892136,0.000990407,0.00174225,0.0001102464,0.0003193515,0.00001006206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986504,0.00004798632,0.0001810474,0.0000277303,0.000002142403,0.000009823103,0.0006419574,0.000008550111,0.0004304728],"genre_scores_gemma":[0.9985846,0.00002023565,0.0001172849,0.00001691329,0.000003488421,0.000006876316,0.0008264511,0.00000379673,0.0004203766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01421318,"threshold_uncertainty_score":0.02826089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135481552760623,"score_gpt":0.2923835952152795,"score_spread":0.2610287796876733,"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."}}