{"id":"W4385390195","doi":"10.18280/ria.370329","title":"Autism Spectrum Disorder Detection Using Facial Images and Deep Convolutional Neural Networks","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autism spectrum disorder; Convolutional neural network; Autism; Artificial intelligence; Pattern recognition (psychology); Psychology; Computer science; Audiology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003085351,0.00023498,0.0002170883,0.0003001952,0.0007579609,0.0001711647,0.0003136137,0.0001184884,0.0003307427],"category_scores_gemma":[0.0002463408,0.0002506559,0.0000925744,0.001420513,0.0004542858,0.000326927,0.0002956669,0.0004239551,0.0004086486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008021131,"about_ca_system_score_gemma":0.00003067665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001610192,"about_ca_topic_score_gemma":0.0001079857,"domain_scores_codex":[0.9975203,0.0001685158,0.0003852586,0.0007528985,0.0003429786,0.0008301059],"domain_scores_gemma":[0.9990843,0.0003170257,0.00009901659,0.0003346918,0.00001026485,0.0001547048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001408977,0.0002141026,0.005022976,0.00008701316,0.0000183108,0.0001975835,0.001192887,0.68621,0.1674429,0.04161183,0.00004881557,0.09781276],"study_design_scores_gemma":[0.00006597234,0.00007305778,0.002144282,0.00001360457,0.000007299328,0.0001018042,0.0001671667,0.9279298,0.0579018,0.01084686,0.0004929164,0.0002554796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7924629,0.0004600503,0.201112,0.003808134,0.000707505,0.0005365615,0.00001611583,0.0004029887,0.0004937943],"genre_scores_gemma":[0.998518,0.0004297172,0.00006486698,0.00007784153,0.0001173239,0.00002822492,0.00000520171,0.00004151979,0.000717276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2417198,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05230495124032738,"score_gpt":0.3067818225895335,"score_spread":0.2544768713492062,"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."}}