{"id":"W1999224843","doi":"10.3758/bf03196355","title":"Contextual control over lexical and sublexical routines when reading English aloud","year":2005,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Reading and Literacy Development","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Reading aloud; Linguistics; Spelling; Control (management); Read aloud; Reading (process); Lexical access; Lexicon; Lexico; Cognitive psychology; Cognition; Artificial intelligence; Computer science","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":[0.0007194082,0.0002400681,0.0002931305,0.0004025255,0.00034794,0.001965721,0.000372789,0.0002467273,0.002652308],"category_scores_gemma":[0.00561741,0.0003042168,0.0001637244,0.0003344124,0.000805667,0.001126122,0.0005732698,0.0004787012,0.0003778974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003912219,"about_ca_system_score_gemma":0.0007027799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00257033,"about_ca_topic_score_gemma":0.005349402,"domain_scores_codex":[0.9991474,0.0001955676,0.00006862056,0.0003227287,0.0001775218,0.00008824997],"domain_scores_gemma":[0.995872,0.001898754,0.0007584843,0.0006526514,0.0005013804,0.0003168365],"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":[0.003400112,0.000605612,0.06786338,0.001315566,0.0002503361,0.000977062,0.01435999,0.0009724619,0.6012572,0.01337816,0.00124442,0.2943757],"study_design_scores_gemma":[0.0001250606,0.0008722307,0.9078736,0.0003242049,0.0003417829,0.0007191077,0.006582487,0.001825668,0.05864348,0.01155006,0.01105179,0.00009045297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961903,0.003495512,0.009050075,0.0002921873,0.0001013666,0.00005813802,0.0002310057,0.0001915764,0.0246771],"genre_scores_gemma":[0.995203,0.0008203556,0.002198066,0.00005938764,0.00003508789,0.00003201041,0.0001166484,0.0001119707,0.00142345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002652308,"threshold_uncertainty_score":0.008872867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651551160665399,"score_gpt":0.2989864499836161,"score_spread":0.2824709383769621,"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."}}