{"id":"W2536268104","doi":"10.1038/srep35494","title":"Atypical Time Course of Object Recognition in Autism Spectrum Disorder","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Neurotypical; Autism spectrum disorder; Computer science; Autism; Sampling (signal processing); Artificial intelligence; Object (grammar); Pattern recognition (psychology); Psychology; Audiology; Computer vision; Developmental psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003192867,0.0001692181,0.0002909428,0.0007641023,0.0001239282,0.0002737517,0.000133316,0.0003405399,0.001730919],"category_scores_gemma":[0.003367899,0.0001688974,0.0001163277,0.0002413752,0.0002752403,0.0003084213,0.0004803799,0.0003685224,0.0002696303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171502,"about_ca_system_score_gemma":0.0001000663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242052,"about_ca_topic_score_gemma":0.001519767,"domain_scores_codex":[0.999755,0.00002456194,0.00002298684,0.00009078838,0.00007288383,0.00003370231],"domain_scores_gemma":[0.9984115,0.0006811623,0.0005096899,0.0001424238,0.0001238519,0.0001313674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002655729,0.0001443482,0.1688089,0.0001756773,0.0000501864,0.0008849784,0.001985377,0.0004411459,0.7785146,0.0003621027,0.0005201892,0.04545677],"study_design_scores_gemma":[0.000008071297,0.0001937361,0.9877055,0.00000810488,0.000009779177,0.0006592962,0.0001221215,0.0006544825,0.01021565,0.0002278034,0.0001844499,0.00001091254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997941,0.0001417597,0.00102161,0.0000178937,0.000006816533,0.000008662536,0.000134001,0.00004351082,0.0006848096],"genre_scores_gemma":[0.9986499,0.0000507864,0.0007551137,0.00001535086,0.00000543626,0.00001396519,0.0001979332,0.00002416211,0.0002872064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001730919,"threshold_uncertainty_score":0.005790472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388972318101919,"score_gpt":0.2864708464798458,"score_spread":0.2625811232988267,"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."}}