{"id":"W2069543826","doi":"10.3758/bf03196217","title":"Semantic processing in visual word recognition: Activation blocking and domain specificity","year":2001,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Reading and Literacy Development","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Priming (agriculture); Blocking (statistics); Lexical decision task; Prime (order theory); Psychology; Context (archaeology); Word (group theory); Natural language processing; Domain (mathematical analysis); Cognitive psychology; Artificial intelligence; Cognition; Computer science; Linguistics; Neuroscience; Combinatorics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008663301,0.0002064154,0.0003802789,0.0001292538,0.00008837023,0.00006117576,0.0001086525,0.00007864568,0.003086512],"category_scores_gemma":[0.0000318841,0.0002013071,0.00005156928,0.0002793705,0.00003959756,0.00005719989,0.00002391514,0.0002433896,0.0008565809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008157043,"about_ca_system_score_gemma":0.0000182166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003730687,"about_ca_topic_score_gemma":0.000003664803,"domain_scores_codex":[0.9983205,0.0001980472,0.0005535882,0.0005174967,0.00009737923,0.0003129988],"domain_scores_gemma":[0.9993955,0.00007590253,0.0002258049,0.0001963631,0.00003294929,0.00007351412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007639625,0.000156849,0.005737867,0.0006230834,0.00001645675,0.00001864232,0.000855705,3.033242e-7,0.00003712385,0.00004200873,0.01330874,0.9791268],"study_design_scores_gemma":[0.0007444637,0.00002988411,0.04060002,0.009078616,0.00002093855,0.0001546406,0.0002092589,0.000008139571,0.000006914769,0.0003303403,0.9484807,0.000336068],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141784,0.04548907,0.0005262241,0.0100518,0.0005387507,0.0008755433,0.000001412675,0.00008759712,0.02825117],"genre_scores_gemma":[0.9400976,0.04400608,0.005442993,0.006007568,0.0006566559,0.0003995732,0.00005651885,0.00008258527,0.003250455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9787908,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578673381154031,"score_gpt":0.3288151789461757,"score_spread":0.2930284451346354,"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."}}