{"id":"W1923290785","doi":"10.1037/neu0000236","title":"Understanding the role of speech production in reading: Evidence for a print-to-speech neural network using graphical analysis.","year":2015,"lang":"en","type":"article","venue":"Neuropsychology","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; University of Alberta; Women and Children’s Health Research Institute","funders":"","keywords":"Pseudoword; Supramarginal gyrus; Speech production; Psychology; Covert; Neurolinguistics; Computer science; Cognitive psychology; Speech recognition; Functional magnetic resonance imaging; Neuroscience; Psycholinguistics; Cognition; 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":[0.00100693,0.0001679248,0.000335788,0.000367046,0.0001100526,0.00002265111,0.0004628159,0.0001079766,0.000005434908],"category_scores_gemma":[0.002743577,0.0001271518,0.000130965,0.002126396,0.0002849477,0.0001084622,0.000108315,0.0003334813,0.00000331378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004541229,"about_ca_system_score_gemma":0.00003659406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003346769,"about_ca_topic_score_gemma":0.00007550811,"domain_scores_codex":[0.9974623,0.0006783123,0.0004200018,0.0007826075,0.0001934424,0.0004632953],"domain_scores_gemma":[0.9984049,0.0007039854,0.0001925232,0.0005359805,0.000068347,0.00009432615],"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":[0.001025153,0.0001265649,0.03572275,0.00001453375,0.00003030292,0.0003195521,0.001571791,0.0136513,0.9433707,0.001222332,0.0002230072,0.002722019],"study_design_scores_gemma":[0.007407184,0.009311623,0.06114961,0.0004703103,0.002157796,0.01747101,0.004946028,0.08326334,0.6657196,0.1363389,0.008329872,0.003434708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950294,0.00007976096,0.0008896863,0.002205496,0.0009535561,0.0006213874,0.000002491803,0.0000434237,0.0001748259],"genre_scores_gemma":[0.9972847,0.00001360679,0.0006584326,0.001633552,0.0003431864,0.00001615637,9.704564e-7,0.00001971802,0.00002968202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2776511,"threshold_uncertainty_score":0.5185102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2918230167043264,"score_gpt":0.4020374632690835,"score_spread":0.1102144465647572,"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."}}