{"id":"W2012322926","doi":"10.3758/bf03211810","title":"Taking the “text” out of context effects in repetition priming of word identification","year":2000,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Reading and Literacy Development","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Priming (agriculture); Repetition priming; Rapid serial visual presentation; Repetition (rhetorical device); Psychology; Context (archaeology); Word (group theory); Reading (process); Word identification; Identification (biology); Reading aloud; Cognitive psychology; Word recognition; Context effect; Communication; Linguistics; Lexical decision task; Cognition; 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":[],"category_scores_codex":[0.0006160112,0.0000787395,0.0001424542,0.0001121501,0.00004370585,0.00001205551,0.00008034388,0.00005696826,0.0009897882],"category_scores_gemma":[0.00009342964,0.00006753224,0.00004392881,0.0001524135,0.00005412281,0.00008915257,0.000007102022,0.0001002029,0.0001341433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002786423,"about_ca_system_score_gemma":0.0000154382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009664305,"about_ca_topic_score_gemma":0.00002435018,"domain_scores_codex":[0.9988964,0.0002221682,0.0004398906,0.0001820774,0.0001398156,0.0001196392],"domain_scores_gemma":[0.9992153,0.0002199693,0.0002785582,0.000200177,0.00007127398,0.00001473903],"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":[0.000143945,0.0001373623,0.0009868691,0.00009211177,0.00002752801,0.000005247133,0.01936009,0.000009683784,0.01899708,0.0002810075,0.0001579682,0.9598011],"study_design_scores_gemma":[0.001351929,0.00007692497,0.9412933,0.001178865,0.00006850501,0.00001162831,0.002281262,0.00009412148,0.05107162,0.001384586,0.001014718,0.0001725663],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708996,0.0001915705,0.0003632581,0.00009058262,0.0004164346,0.0003432693,0.000003333195,0.00001977214,0.02767217],"genre_scores_gemma":[0.9980167,0.00001494856,0.00008243317,0.00009674848,0.00004857421,0.00007706758,0.00004569929,0.00000973646,0.001608086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9596285,"threshold_uncertainty_score":0.9999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02765131161577604,"score_gpt":0.3111102916746423,"score_spread":0.2834589800588663,"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."}}