{"id":"W3161600009","doi":"10.2196/29242","title":"Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Milestone; Machine learning; Autism spectrum disorder; Autism; Developmental Milestone; Artificial intelligence; Computer science; Psychology; Developmental psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001019109,0.0002315005,0.0003982481,0.0001050549,0.001392523,0.00001542048,0.0002529279,0.000345224,0.0004243999],"category_scores_gemma":[0.0002249213,0.0001816644,0.00005608059,0.0003779271,0.00008995087,0.0002063603,0.0002039672,0.001319012,0.0001651763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801014,"about_ca_system_score_gemma":0.003479017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004553754,"about_ca_topic_score_gemma":0.00008612789,"domain_scores_codex":[0.99661,0.00009707015,0.001411932,0.0001828563,0.0007720884,0.0009260172],"domain_scores_gemma":[0.9979144,0.0002902293,0.0004517667,0.0002549346,0.0001710177,0.000917646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004499925,0.001503765,0.2166112,0.01169209,0.0004138529,0.000010746,0.05051072,0.0001319974,0.00001639648,0.06128856,0.05278166,0.604589],"study_design_scores_gemma":[0.006674448,0.0002749256,0.03069562,0.0005737123,0.00004806702,0.0001525797,0.01261817,0.01626085,0.00002450768,0.000120685,0.9320647,0.0004917269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6897657,0.000695419,0.218521,0.01253162,0.0007071449,0.02539261,0.0003172593,0.001151406,0.05091789],"genre_scores_gemma":[0.3295098,0.001650558,0.5129304,0.05437223,0.001046383,0.07797189,0.01285538,0.0002129005,0.009450484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8792831,"threshold_uncertainty_score":0.9999076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326435305297664,"score_gpt":0.3777100651790863,"score_spread":0.3450665346493199,"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."}}