{"id":"W3161453765","doi":"10.31234/osf.io/m8xwr","title":"Individuals with dyslexia use a different visual reading strategy to sample text: Comprehensive evidence from eye-tracking","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Reading and Literacy Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre de réadaptation Lethbridge-Layton-Mackay; Concordia University","funders":"","keywords":"Dyslexia; Eye movement; Reading (process); Psychology; Eye tracking; Cognitive psychology; Fixation (population genetics); Cognition; Biological theories of dyslexia; Comprehension; Reading comprehension; Visual processing; Rapid automatized naming; Developmental psychology; Developmental dyslexia; Computer science; Neuroscience; Artificial intelligence; Linguistics; Population; Medicine","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":[0.0003624924,0.0003488607,0.00028664,0.00120941,0.0001908143,0.000582785,0.0001997032,0.0003312256,0.001035103],"category_scores_gemma":[0.00234674,0.0001402159,0.0001291939,0.0005381459,0.0004065242,0.0006164452,0.0003759276,0.0002256202,0.0002707514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915014,"about_ca_system_score_gemma":0.0001680596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003318585,"about_ca_topic_score_gemma":0.00593371,"domain_scores_codex":[0.9997018,0.00002798372,0.00006395534,0.0001065102,0.00007140363,0.00002825899],"domain_scores_gemma":[0.9978904,0.0005500563,0.001012505,0.0002070192,0.0002392828,0.0001008919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000479428,0.0002039719,0.8812369,0.0001744727,0.0001477495,0.001080801,0.002128248,0.0001319077,0.05894578,0.0001679881,0.0003090278,0.05499367],"study_design_scores_gemma":[0.000003723743,0.0001153559,0.9956977,0.000007338946,0.00002400808,0.001224952,0.0002491133,0.00008904019,0.002338989,0.00004741632,0.0001986082,0.000003808459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983743,0.0001645083,0.0003751346,0.00003025147,0.000002210978,0.00001012013,0.0001133759,0.00002379883,0.0009062333],"genre_scores_gemma":[0.998882,0.0001404201,0.0004656083,0.00003064063,0.000003185269,0.000007207858,0.0001639888,0.000006768173,0.0003002459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003318585,"threshold_uncertainty_score":0.006598532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175674792546983,"score_gpt":0.3961830289470665,"score_spread":0.2786155496923682,"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."}}