{"id":"W4205785225","doi":"10.2196/26760","title":"Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Islamic Development Bank; U.S. National Library of Medicine; Weston Havens Foundation; Bill and Melinda Gates Foundation; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Hartwell Foundation; Wu Tsai Neurosciences Institute, Stanford University; National Institutes of Health; National Science Foundation","keywords":"Disgust; Autism spectrum disorder; Convolutional neural network; Artificial intelligence; Classifier (UML); Computer science; Emotion classification; Emotion recognition; Facial expression; Psychology; Autism; Machine learning; Developmental psychology; Clinical psychology; Anger","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009214788,0.000310806,0.0001886078,0.0006224174,0.0002038656,0.0007147585,0.0004058433,0.0003134069,0.002229017],"category_scores_gemma":[0.004965354,0.00008647565,0.0003509016,0.0006389387,0.0002940937,0.0005294366,0.0003218029,0.0007070579,0.0003780824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008137181,"about_ca_system_score_gemma":0.0007243407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296157,"about_ca_topic_score_gemma":0.003468834,"domain_scores_codex":[0.9996023,0.0001490274,0.00002487262,0.00007403262,0.000112979,0.00003685447],"domain_scores_gemma":[0.9985843,0.001002483,0.00009777542,0.00008548122,0.0001588081,0.00007126601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00025929,0.002953805,0.07389776,0.0004872382,0.0001148779,0.0002635255,0.0006615175,0.01500824,0.002087143,0.00664791,0.006925808,0.8906928],"study_design_scores_gemma":[0.0001746363,0.003385967,0.3298911,0.001105096,0.000273856,0.002403356,0.002406412,0.5857126,0.01297642,0.01319341,0.04839244,0.00008480281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138887,0.009771544,0.04971398,0.002265305,0.0001160681,0.000518215,0.0006356816,0.0002760497,0.02281452],"genre_scores_gemma":[0.9566577,0.005909933,0.03392287,0.0003218586,0.00005778565,0.0002091087,0.0004703586,0.00003372585,0.002416601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00296157,"threshold_uncertainty_score":0.007456779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07745738704151024,"score_gpt":0.3313735631660435,"score_spread":0.2539161761245333,"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."}}