{"id":"W4408474308","doi":"10.1093/genetics/iyaf040","title":"ASiDentify (ASiD): a machine learning model to predict new autism spectrum disorder risk genes","year":2025,"lang":"en","type":"article","venue":"Genetics","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"Canadian Institutes of Health Research; Simons Foundation Autism Research Initiative","keywords":"Biology; Autism spectrum disorder; Gene; Chromatin; Genetics; Computational biology; Candidate gene; RNA; Autism; Psychology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002340589,0.000319852,0.0002887206,0.0004349943,0.0005057915,0.0002178138,0.0008849161,0.0001387798,0.0002333279],"category_scores_gemma":[0.0004354468,0.000332823,0.000120944,0.001153908,0.000110352,0.00009275819,0.000858775,0.0006777989,0.0004239821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000932867,"about_ca_system_score_gemma":0.000385874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004972887,"about_ca_topic_score_gemma":0.00137491,"domain_scores_codex":[0.9968402,0.0002398781,0.0003940166,0.0009288486,0.000681592,0.0009154089],"domain_scores_gemma":[0.9986821,0.0001490571,0.00009883398,0.0007448421,0.000008293217,0.0003168394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001927864,0.0004422428,0.1608694,0.0001126992,0.00008704158,0.00007866524,0.001905919,0.5998752,0.08699168,0.05909668,0.006089186,0.08425847],"study_design_scores_gemma":[0.001497456,0.0003175573,0.03554502,0.00005243367,0.00007871313,0.00001721958,0.00004016204,0.7047881,0.08559742,0.1328832,0.03850335,0.0006793587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6824383,0.00357958,0.2773791,0.02803534,0.0005125219,0.001283118,0.0000981001,0.0005563395,0.006117598],"genre_scores_gemma":[0.9667752,0.002426472,0.004016632,0.0005000185,0.00006164262,0.00004130908,0.000006180492,0.00007394905,0.02609858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2843369,"threshold_uncertainty_score":0.9999124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538718306198915,"score_gpt":0.3043586669701556,"score_spread":0.2789714839081664,"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."}}