{"id":"W4390971221","doi":"10.1109/bibm58861.2023.10386016","title":"Machine Learning Model to Predict Autism Spectrum Disorder Using Eye Gaze Tracking","year":2023,"lang":"en","type":"article","venue":"","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Autism spectrum disorder; Eye tracking; Gaze; Autism; Psychology; Cognition; Neurodevelopmental disorder; Typically developing; Developmental psychology; Cognitive psychology; Artificial intelligence; Computer science; Psychiatry","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":[0.0007169354,0.0009461106,0.0006634611,0.0009187695,0.0002747044,0.0005381972,0.0006601526,0.0008342572,0.001423927],"category_scores_gemma":[0.001775974,0.0002210196,0.0008454665,0.0004251226,0.0001514697,0.0003163329,0.0003059513,0.0009533037,0.0004971246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005502402,"about_ca_system_score_gemma":0.0007470752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460974,"about_ca_topic_score_gemma":0.009054986,"domain_scores_codex":[0.999751,0.00005682713,0.00002302651,0.00008777618,0.00003777684,0.00004353627],"domain_scores_gemma":[0.9991292,0.000510872,0.00008884641,0.00003809658,0.0001941423,0.00003886721],"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":[0.0004167283,0.0008611573,0.04508954,0.00008740309,0.000249168,0.0002854144,0.00006219833,0.7852575,0.003724216,0.0005070909,0.005186874,0.1582728],"study_design_scores_gemma":[0.000004837978,0.00002992516,0.001485822,0.000004202563,0.000007483952,0.00001590127,0.000005716603,0.9979557,0.0002220402,0.000184544,0.00008112106,0.000002822953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.672041,0.002665379,0.3134828,0.001329788,0.0003406894,0.0002476886,0.00279313,0.003232317,0.003867127],"genre_scores_gemma":[0.976759,0.0002155677,0.01933492,0.0001024613,0.00006521643,0.0001158644,0.00159247,0.00002286452,0.001791679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460974,"threshold_uncertainty_score":0.0290494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06945607984809077,"score_gpt":0.3413348883397789,"score_spread":0.2718788084916882,"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."}}