{"id":"W2157060737","doi":"10.3758/bf03193356","title":"Time perception and word recognition: An elaboration of the time-criterion account","year":2006,"lang":"en","type":"article","venue":"Perception & Psychophysics","topic":"Reading and Literacy Development","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Perception; Psychology; Lexical decision task; Cognitive psychology; Word recognition; Time perception; Cognition; Speech recognition; Computer science; Linguistics; Neuroscience","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":["insufficient_payload"],"category_scores_codex":[0.000230908,0.0001817057,0.0001758237,0.00008137945,0.0001687944,0.00007171855,0.0001261431,0.0001276516,0.002538035],"category_scores_gemma":[0.000004959149,0.0001515434,0.000070465,0.0003085145,0.0001250154,0.0003911041,0.00001968205,0.0001518118,0.00142218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006745231,"about_ca_system_score_gemma":0.00001806617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001008541,"about_ca_topic_score_gemma":0.000005371522,"domain_scores_codex":[0.9986295,0.000192576,0.0003725031,0.0003726092,0.000243853,0.0001889867],"domain_scores_gemma":[0.9991885,0.00002556742,0.0001834286,0.0003800796,0.0001780345,0.00004439381],"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":[0.0002880766,0.0007766073,0.002909138,0.00003737458,0.00004063837,9.326274e-7,0.01767582,0.00002663966,0.4240363,0.0001867509,0.02060096,0.5334208],"study_design_scores_gemma":[0.0009179637,0.0001648118,0.9826137,0.0001097058,0.0000589974,0.00002022926,0.00120482,0.0008828242,0.0001348755,0.004354612,0.009149587,0.0003878039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912934,0.00001895418,0.0003043189,0.000434131,0.000547957,0.000277594,0.00003592833,0.00007519202,0.007012553],"genre_scores_gemma":[0.9910304,0.00002190021,0.001351573,0.0003263704,0.0007143822,0.0000474628,0.0003962414,0.00003181226,0.006079888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9797046,"threshold_uncertainty_score":0.9993553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372827461856229,"score_gpt":0.2820870349665699,"score_spread":0.2683587603480077,"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."}}