{"id":"W2154716109","doi":"10.1016/j.bandl.2006.05.003","title":"An attempt to simulate letter-by-letter dyslexia in normal readers","year":2006,"lang":"en","type":"article","venue":"Brain and Language","topic":"Reading and Literacy Development","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Dyslexia; Neuropsychology; Psychology; Cognition; Developmental dyslexia; Cognitive psychology; Reading (process); Audiology; Neuroscience; Linguistics; 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":[0.0004932069,0.0003804597,0.000286728,0.0004811704,0.0002572761,0.0006354583,0.000651452,0.001235259,0.003177237],"category_scores_gemma":[0.006255447,0.0001759377,0.0003421904,0.000247886,0.0005847826,0.0004768112,0.0006479736,0.0004620855,0.0004064894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000382897,"about_ca_system_score_gemma":0.000463556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948778,"about_ca_topic_score_gemma":0.001522026,"domain_scores_codex":[0.999741,0.0001005363,0.00002815443,0.00005176348,0.00004759825,0.00003095154],"domain_scores_gemma":[0.9968807,0.00238728,0.0001190061,0.0002940483,0.0001966599,0.0001224492],"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":[0.02255553,0.00797505,0.07437317,0.001386894,0.0003880936,0.03222216,0.008425793,0.3995482,0.3507278,0.03501067,0.004426042,0.06296062],"study_design_scores_gemma":[0.002964215,0.0129688,0.03907205,0.0001318268,0.0004199249,0.009956002,0.003727053,0.7437661,0.1586626,0.02114421,0.007016262,0.00017089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912639,0.00001398992,0.005851781,0.0001255675,0.00003971626,0.0001015074,0.0002449891,0.0001954247,0.00216319],"genre_scores_gemma":[0.9935272,0.0000195461,0.004649836,0.00005789143,0.000004689266,0.0001160943,0.0001729613,0.00002730962,0.001424327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003177237,"threshold_uncertainty_score":0.01062888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007439507788484292,"score_gpt":0.2892158503014672,"score_spread":0.2817763425129829,"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."}}