{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001463879,0.00120937,0.0009271203,0.0009669058,0.0004292154,0.0006164179,0.001277527,0.0009591628,0.002307177],"category_scores_gemma":[0.003282248,0.0003781464,0.00131367,0.0004420107,0.0002853136,0.0004218696,0.0007742203,0.00155362,0.0006382667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006814084,"about_ca_system_score_gemma":0.000898725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006985718,"about_ca_topic_score_gemma":0.006844744,"domain_scores_codex":[0.9996654,0.0001341362,0.00002002563,0.00009176016,0.00004743053,0.00004128152],"domain_scores_gemma":[0.9983792,0.001259816,0.00009202044,0.00004636792,0.0001530835,0.00006948187],"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":[0.0008201337,0.0004309787,0.04062966,0.0001314782,0.0004521178,0.0004288216,0.00006772824,0.8144957,0.002396378,0.002744931,0.01175652,0.1256455],"study_design_scores_gemma":[0.00002651669,0.00004843934,0.0007362618,0.000006089283,0.00002105624,0.00003441464,0.000004475945,0.9973225,0.0002530478,0.001136517,0.0004035284,0.000007186262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3106235,0.001884488,0.6675682,0.002623965,0.0003050677,0.0003179237,0.006727382,0.005726624,0.004222837],"genre_scores_gemma":[0.8526466,0.0005359488,0.1303776,0.0009443342,0.0001677582,0.000631505,0.009517512,0.0001997756,0.00497901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006985718,"threshold_uncertainty_score":0.01389015,"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."}}