{"id":"W2106997205","doi":"10.1002/aur.173","title":"A genotype resource for postmortem brain samples from the Autism Tissue Program","year":2011,"lang":"en","type":"article","venue":"Autism Research","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"National Institute of Mental Health; National Institute on Aging; National Institutes of Health; Koninklijke Nederlandse Akademie van Wetenschappen; Canadian Institutes of Health Research; Ontario Genomics; Research and Innovation Foundation; Genome Canada; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Autism Speaks","keywords":"Autism; Genotype; Copy-number variation; SNP array; Autism spectrum disorder; Biology; Human genome; SNP; Single-nucleotide polymorphism; Genetics; Informatics; Epilepsy; Genome; Bioinformatics; Computational biology; Psychology; Gene; Neuroscience; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002664915,0.001036406,0.001592028,0.006167597,0.001364051,0.00128519,0.002288776,0.001242576,0.1636802],"category_scores_gemma":[0.007328704,0.00129866,0.0005257309,0.004082979,0.0003484996,0.001004793,0.002109251,0.001141024,0.08583391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613661,"about_ca_system_score_gemma":0.00210048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00225432,"about_ca_topic_score_gemma":0.006408325,"domain_scores_codex":[0.9984781,0.0002772378,0.0003099103,0.0003725725,0.0004403298,0.0001218292],"domain_scores_gemma":[0.9919376,0.001427445,0.0006854058,0.003893588,0.001447792,0.0006082086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001810474,0.0005615997,0.01901916,0.000947648,0.0001323702,0.002525536,0.0003767917,0.001461452,0.0592948,0.003960285,0.6648239,0.2450861],"study_design_scores_gemma":[0.00122641,0.0007036649,0.08314779,0.0004428895,0.0002848233,0.00971354,0.0003165653,0.005201295,0.05456841,0.01365916,0.8304579,0.0002774935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02868052,0.0008531118,0.149159,0.0008120088,0.0005143325,0.004008096,0.7537842,0.0281095,0.03407913],"genre_scores_gemma":[0.03225797,0.0006597991,0.183466,0.0005638281,0.0002405775,0.0106592,0.7350579,0.005684798,0.03140991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1636802,"threshold_uncertainty_score":0.547565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09153789274126525,"score_gpt":0.3439227624866855,"score_spread":0.2523848697454202,"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."}}