{"id":"W2956253149","doi":"","title":"The Role of Information in Visual Word Recognition: A Perceptually-Constrained Connectionist Account","year":2019,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Reading and Literacy Development","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Connectionism; Word (group theory); Artificial intelligence; Natural language processing; Speech recognition; Pattern recognition (psychology); Artificial neural network; Linguistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002464504,0.00008688613,0.0001651314,0.0001643306,0.0001185447,0.00002530659,0.0001812618,0.00008423141,0.001764412],"category_scores_gemma":[0.00001534796,0.00008730582,0.00006544494,0.0002123113,0.0001241962,0.000361253,0.00005151576,0.0001230297,0.0004356566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006661781,"about_ca_system_score_gemma":0.00005947544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005354447,"about_ca_topic_score_gemma":0.0001714925,"domain_scores_codex":[0.9992949,0.00007467824,0.0001919196,0.0001264081,0.0001525262,0.0001595553],"domain_scores_gemma":[0.9993355,0.000123349,0.0001986156,0.0001695881,0.0001390053,0.00003396434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001064406,0.0002082115,0.03500532,0.00007855684,0.0001768101,0.000008203165,0.1072817,0.00001864285,0.0006306546,0.002987359,0.001616579,0.8509236],"study_design_scores_gemma":[0.003966952,0.0004223797,0.4215605,0.0002881851,0.00003819351,0.0000348939,0.3903771,0.0005342285,0.0001568058,0.0009889985,0.181229,0.0004027201],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439151,0.00002724145,0.0001008702,0.0003099367,0.0002801102,0.0002172934,0.00002516223,0.00002137808,0.05510286],"genre_scores_gemma":[0.9976381,0.00001142429,0.0002759263,0.00005200003,0.00001334172,8.25372e-7,0.00005758134,0.000004103156,0.001946679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8505209,"threshold_uncertainty_score":0.9991481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007920693939087842,"score_gpt":0.2244578591825572,"score_spread":0.2165371652434693,"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."}}