{"id":"W2140977086","doi":"10.3389/fnhum.2013.00798","title":"MEG masked priming evidence for form-based decomposition of irregular verbs","year":2013,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Reading and Literacy Development","field":"Psychology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; New York University Abu Dhabi; National Science Foundation","keywords":"Affix; Priming (agriculture); Repetition priming; Past tense; Lexical decision task; Response priming; Psychology; Repetition (rhetorical device); Cognitive psychology; Artificial intelligence; Verb; Natural language processing; Linguistics; Computer science; Cognition; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553866,0.0001811143,0.0001916057,0.0001552724,0.0000906338,0.0001870183,0.00009694757,0.0002185896,0.001642377],"category_scores_gemma":[0.001101411,0.0001486579,0.0001642589,0.00008951795,0.000329315,0.0002647422,0.0002724241,0.0002855419,0.0001576022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008798662,"about_ca_system_score_gemma":0.00009855283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002509852,"about_ca_topic_score_gemma":0.0003332781,"domain_scores_codex":[0.9999447,0.000008257965,0.00000455177,0.00002155601,0.00001264113,0.000008272232],"domain_scores_gemma":[0.9997316,0.0001376785,0.00005637929,0.00002909501,0.00002177181,0.00002337885],"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":[0.0004069643,0.00001578084,0.001632486,0.00003040076,0.000004302893,0.00009540529,0.0001155769,0.00003761153,0.9942073,0.0001550577,0.00003824695,0.003260899],"study_design_scores_gemma":[0.0002038593,0.001559323,0.6930121,0.00001817337,0.00008064173,0.002560484,0.0003105439,0.002707148,0.2952924,0.002949801,0.001272994,0.00003264485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960966,0.00008029064,0.002383605,0.00005406677,0.0000100654,0.00001484034,0.00009947369,0.00003207813,0.001229004],"genre_scores_gemma":[0.9977127,0.00006150007,0.001735881,0.00004084869,0.00001466649,0.00002291268,0.0000837817,0.00001682988,0.0003108979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001642377,"threshold_uncertainty_score":0.005494297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05914153237079077,"score_gpt":0.365726349571785,"score_spread":0.3065848172009942,"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."}}