{"id":"W3034233321","doi":"10.1016/j.neubiorev.2020.06.013","title":"Unisensory and multisensory temporal processing in autism and dyslexia: A systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep Marie-Victorin; Université de Montréal; McGill University; Institut Universitaire de Gériatrie de Montréal; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Dyslexia; Psychology; Autism spectrum disorder; Autism; Cognitive psychology; Sensory processing; Developmental dyslexia; Developmental psychology; Audiology; Meta-analysis; Reading (process); Sensory system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001988775,0.00134504,0.01270974,0.001019731,0.0004074657,0.0005923996,0.001045071,0.0003077319,0.00004953801],"category_scores_gemma":[0.002379249,0.0009167578,0.001261722,0.00522456,0.001308391,0.0006683366,0.0009569945,0.001418727,0.0000333743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169986,"about_ca_system_score_gemma":0.0002768799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006147207,"about_ca_topic_score_gemma":0.00004523345,"domain_scores_codex":[0.989411,0.002757826,0.00270212,0.003110611,0.001016507,0.001001945],"domain_scores_gemma":[0.9964717,0.0000637285,0.001658783,0.001130467,0.00001981197,0.0006554787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002235344,0.0001306392,0.0000221234,0.8495109,0.00002533113,0.0004956585,0.000111461,6.058364e-8,0.00009033036,0.0002420052,0.0000256715,0.1493436],"study_design_scores_gemma":[0.0001952982,0.0001969672,0.00004381336,0.03919762,0.3882692,0.0007666206,0.00001251156,0.0001427652,0.000001872192,0.00004718126,0.5696818,0.001444332],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002140471,0.9896152,0.00001659029,0.0003469241,0.00003824798,0.009717672,0.0001236762,0.00009480188,0.00002547716],"genre_scores_gemma":[0.0005283361,0.9955902,0.0001774749,0.001930581,0.000007158391,0.001433375,0.000006580227,0.00009417357,0.0002320985],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8103133,"threshold_uncertainty_score":0.9999301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3189251606577847,"score_gpt":0.4431859657952214,"score_spread":0.1242608051374367,"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."}}