{"id":"W2439660577","doi":"10.1111/cogs.12382","title":"An Extension of a Parallel‐Distributed Processing Framework of Reading Aloud in Japanese: Human Nonword Reading Accuracy Does Not Require a Sequential Mechanism","year":2016,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Japan Society for the Promotion of Science","keywords":"Reading (process); Computer science; Grapheme; Mechanism (biology); Reading aloud; Natural language processing; Speech recognition; Artificial intelligence; Orthography; Parsing; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001212917,0.0002177427,0.0003675276,0.0003606989,0.0003513223,0.00005344519,0.0007248292,0.0001325256,0.00004047123],"category_scores_gemma":[0.007113643,0.0001387953,0.00006260649,0.001144336,0.002024313,0.001498225,0.0002297469,0.0002300386,0.000004842381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005061102,"about_ca_system_score_gemma":0.0001918515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004845291,"about_ca_topic_score_gemma":0.00001216341,"domain_scores_codex":[0.9971003,0.0002650055,0.0005480942,0.001029391,0.0004957701,0.0005614425],"domain_scores_gemma":[0.9977013,0.0009202181,0.0005132636,0.0003587599,0.0003803042,0.0001260977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001114996,0.0001020672,0.0001726332,0.0000365425,0.000001195502,0.0002083861,0.003524577,8.796578e-7,0.9876001,0.001501562,3.969388e-7,0.00674011],"study_design_scores_gemma":[0.0005187902,0.0002627409,0.0006662377,0.001388246,0.00001276216,0.00009252406,0.001544538,0.0001309352,0.9871213,0.008037824,0.000001421086,0.0002226635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933432,0.00001155297,0.005735369,0.0001331692,0.0001719303,0.0003308183,0.0001010827,0.00005747455,0.0001154246],"genre_scores_gemma":[0.9986385,0.00001452257,0.0009225593,0.0002940086,0.00006451688,0.00001038688,0.000004084383,0.00001558798,0.00003584248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006536263,"threshold_uncertainty_score":0.851621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05229202193166656,"score_gpt":0.3683092891944486,"score_spread":0.316017267262782,"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."}}