{"id":"W3167078692","doi":"10.1371/journal.pone.0250763","title":"Attention capture by trains and faces in children with and without autism spectrum disorder","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Autism spectrum disorder; Psychology; Audiology; Cognitive psychology; Autism; 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":[0.000327041,0.0006248504,0.0005519855,0.001784514,0.0004670541,0.0005995316,0.0003015777,0.0005050674,0.001425375],"category_scores_gemma":[0.002253877,0.0002809954,0.0004491791,0.0004715979,0.0007176977,0.0006012786,0.0009773038,0.0005047231,0.0002227366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007195776,"about_ca_system_score_gemma":0.0002685625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374008,"about_ca_topic_score_gemma":0.01392248,"domain_scores_codex":[0.9994577,0.00003719884,0.000061191,0.0001905701,0.0001359012,0.0001173413],"domain_scores_gemma":[0.9988989,0.0002208954,0.0005587846,0.00004926098,0.0001201001,0.0001519651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003467299,0.0001638137,0.9765689,0.00006639999,0.00004140206,0.001290349,0.003354587,0.00008048125,0.01012308,0.00004641991,0.0001677076,0.00775013],"study_design_scores_gemma":[0.000003976577,0.0001483271,0.9975626,0.000004335954,0.00001319948,0.001138141,0.0007317031,0.00003457579,0.0002671923,0.00001912108,0.00007226728,0.000004481825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996142,0.00005686826,0.00002540855,0.00001079367,0.000001910589,0.000004379834,0.00006362409,0.000004248681,0.0002185629],"genre_scores_gemma":[0.9995011,0.00007201167,0.0001092926,0.00001788829,0.000002618092,0.00001443517,0.0001104489,0.000002150249,0.0001700255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374008,"threshold_uncertainty_score":0.02732021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292604144840962,"score_gpt":0.2420492587416764,"score_spread":0.2191232172932668,"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."}}