{"id":"W4224252851","doi":"10.2196/35406","title":"Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; U.S. National Library of Medicine; Weston Havens Foundation; Bill and Melinda Gates Foundation; Wu Tsai Neurosciences Institute, Stanford University; National Science Foundation; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Hartwell Foundation","keywords":"Neurotypical; Autism; Autism spectrum disorder; Computer science; Speech recognition; Convolutional neural network; Spectrogram; Mel-frequency cepstrum; Random forest; Artificial intelligence; Feature extraction; Psychology; Developmental psychology","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":[0.005439722,0.001857475,0.000941199,0.001909225,0.000609057,0.0008731834,0.001215393,0.001427897,0.001402453],"category_scores_gemma":[0.008164354,0.0001931669,0.001416423,0.0008094739,0.0004953183,0.0006713971,0.0009669008,0.001454723,0.0008195958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146638,"about_ca_system_score_gemma":0.0008598378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346735,"about_ca_topic_score_gemma":0.01147155,"domain_scores_codex":[0.997607,0.001069296,0.0002020953,0.0006272772,0.0003089744,0.0001853648],"domain_scores_gemma":[0.9918112,0.005747222,0.0003520877,0.0005413062,0.00124776,0.0003004281],"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":[0.005398734,0.003651958,0.1399578,0.0009964282,0.002036146,0.001190557,0.001441045,0.2830852,0.009764331,0.0006570468,0.01278554,0.5390351],"study_design_scores_gemma":[0.0001074087,0.001046141,0.04008373,0.0001077071,0.0002218636,0.0004201339,0.001033512,0.9497859,0.004824233,0.0007828062,0.001516987,0.00006956299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584931,0.002574687,0.03269086,0.0003799698,0.0003087129,0.0004820131,0.002083479,0.000911726,0.002075375],"genre_scores_gemma":[0.969651,0.0003678367,0.0232171,0.0001362085,0.00009596262,0.0002672157,0.005062226,0.00005210968,0.001150342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01346735,"threshold_uncertainty_score":0.02876836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05061827685488698,"score_gpt":0.3198674960015697,"score_spread":0.2692492191466827,"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."}}