{"id":"W2263966921","doi":"10.7939/r3mk6k","title":"A comparison of two computer-based programs designed to improve facial expression understanding in children with autism","year":2011,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Autism; Facial expression; Expression (computer science); Computer science; Psychology; Artificial intelligence; Human–computer interaction; Developmental psychology; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009057261,0.001194869,0.001924508,0.0005769702,0.0005635276,0.0005040759,0.001015104,0.001864309,0.005628202],"category_scores_gemma":[0.002569145,0.0005369971,0.001141474,0.0003348052,0.0007812972,0.0006891563,0.0005112733,0.001724704,0.0006163967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008768072,"about_ca_system_score_gemma":0.001032325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178497,"about_ca_topic_score_gemma":0.005071602,"domain_scores_codex":[0.998971,0.0004446029,0.0001135474,0.0002168184,0.0001155677,0.0001386007],"domain_scores_gemma":[0.9988893,0.0004171185,0.0002119027,0.00007049751,0.00006928439,0.0003418438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.8782962,0.06588606,0.001334135,0.001224565,0.0007211766,0.0001147917,0.0002211918,0.0003901374,0.00348754,0.0001870501,0.0005095887,0.04762747],"study_design_scores_gemma":[0.75805,0.2323803,0.007333606,0.00008172666,0.0003482318,0.00004369347,0.0001118822,0.0003427433,0.0006753725,0.0001195864,0.000494544,0.00001825242],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952141,0.001114249,0.0001913093,0.0002028096,0.0001818761,0.001921002,0.000216638,0.00004508142,0.0009128765],"genre_scores_gemma":[0.9865371,0.001491231,0.001805567,0.0002798739,0.0001628957,0.007829756,0.0004036435,0.00001128159,0.001478694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005628202,"threshold_uncertainty_score":0.01882821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885199813969864,"score_gpt":0.2561843236143828,"score_spread":0.2073323254746841,"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."}}