{"id":"W1987266788","doi":"10.1007/s10803-014-2118-6","title":"Training Facial Expression Production in Children on the Autism Spectrum","year":2014,"lang":"en","type":"article","venue":"Journal of Autism and Developmental Disorders","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Institute of Mental Health; National Institutes of Health; National Science Foundation","keywords":"Psychology; Autism; Autism spectrum disorder; Facial expression; Expression (computer science); Computer game; Typically developing; Facial expression recognition; Developmental psychology; Audiology; Cognitive psychology; Communication; Facial recognition system; Multimedia; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000641485,0.0001850826,0.0002189416,0.0003100086,0.0003324154,0.00008034043,0.0003140268,0.00006698391,0.0001129714],"category_scores_gemma":[0.0003934916,0.0001277351,0.00005870571,0.0003478975,0.0002019868,0.0003314234,0.0001075204,0.0005407106,0.00002434409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008190488,"about_ca_system_score_gemma":0.0001158402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002059707,"about_ca_topic_score_gemma":0.00003607915,"domain_scores_codex":[0.9980413,0.0002424675,0.0004166113,0.00031351,0.0005883625,0.0003977888],"domain_scores_gemma":[0.9994149,0.0001658385,0.0002019762,0.00011485,0.000002156915,0.0001002989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001259538,0.001690791,0.1478184,0.00007122666,0.00009111605,0.0000726478,0.04317677,0.000405431,0.1472719,0.189149,0.003373693,0.4656195],"study_design_scores_gemma":[0.001466498,0.000362612,0.8634958,0.0001658106,0.000005925535,0.0003809298,0.0007630584,0.000157257,0.02811516,0.1029324,0.001821229,0.0003333165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714971,0.00005772289,0.0001365624,0.02429195,0.0002662684,0.0002961303,0.000002059634,0.00001829208,0.003433947],"genre_scores_gemma":[0.9989706,0.0003322348,0.0001918728,0.0003167792,0.00003557963,0.000007312594,8.131266e-7,0.00001954579,0.0001252603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7156774,"threshold_uncertainty_score":0.5208885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242269175513131,"score_gpt":0.260977829154925,"score_spread":0.2367509116036119,"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."}}