{"id":"W2026521474","doi":"10.1037//0096-1523.26.4.1320","title":"Visual word recognition: Reattending to the role of spatial attention.","year":2000,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cued speech; Lexical decision task; Word recognition; Fixation (population genetics); Word (group theory); Psychology; Cognitive psychology; Prime (order theory); Computer science; Speech recognition; Communication; Linguistics; Cognition; Reading (process); Neuroscience; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001242952,0.0003501606,0.0004055077,0.0001866332,0.0001398825,0.0007265408,0.0004625143,0.0007327317,0.002052106],"category_scores_gemma":[0.006225757,0.0002539198,0.0001906506,0.0001339909,0.0008921173,0.001245321,0.0006928556,0.0005243169,0.0002595712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829126,"about_ca_system_score_gemma":0.0002140846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008411254,"about_ca_topic_score_gemma":0.0007450745,"domain_scores_codex":[0.9994824,0.0001527582,0.00003019005,0.0001451358,0.0001084308,0.00008109065],"domain_scores_gemma":[0.9964604,0.002239715,0.0005468238,0.0003368452,0.0002063967,0.0002098839],"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":[0.004261057,0.0005614485,0.009626032,0.0005272352,0.00008085556,0.0003043362,0.001182348,0.0003888955,0.8516579,0.001543297,0.0006221865,0.1292445],"study_design_scores_gemma":[0.001153649,0.009871556,0.3726885,0.0001646769,0.0004854809,0.001968464,0.001105502,0.01533706,0.5625181,0.02841503,0.006145666,0.0001462921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872354,0.001247363,0.008099793,0.0002299082,0.0000731961,0.00004800373,0.00003549237,0.00008150071,0.002949397],"genre_scores_gemma":[0.9954894,0.000290646,0.002992117,0.0001636275,0.00003059381,0.00004824552,0.00004964284,0.00001966807,0.0009160575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002052106,"threshold_uncertainty_score":0.006864965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992482274414007,"score_gpt":0.3174023598167004,"score_spread":0.2974775370725603,"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."}}