{"id":"W2140158033","doi":"10.1163/1568568041920104","title":"Termination of a visual search with large display size effects","year":2004,"lang":"en","type":"article","venue":"Spatial Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual search; Object (grammar); Set (abstract data type); Visual field; Focus (optics); Artificial intelligence; Computer vision; Computer science; Psychology; Visual attention; Cognition; Optics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00760881,0.0007441562,0.001316117,0.00115282,0.0003934593,0.00172282,0.001393587,0.001870845,0.003630968],"category_scores_gemma":[0.1107799,0.0008921428,0.00117305,0.0003880138,0.001686753,0.002372576,0.002544972,0.002399468,0.0009209526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006499995,"about_ca_system_score_gemma":0.0005731035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005017807,"about_ca_topic_score_gemma":0.0004608387,"domain_scores_codex":[0.9940208,0.001816777,0.0007335249,0.0007884451,0.002305477,0.0003350829],"domain_scores_gemma":[0.7755482,0.1887844,0.009171205,0.01912397,0.00422402,0.003148113],"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":[0.01325366,0.001656129,0.1553512,0.0007079309,0.0004622366,0.00285998,0.001758654,0.02810683,0.6578765,0.01473133,0.001633569,0.121602],"study_design_scores_gemma":[0.001021669,0.006138457,0.4704156,0.0001706063,0.000529432,0.007604908,0.0003141145,0.2982664,0.1643576,0.04895474,0.00190059,0.0003259718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369445,0.0001962679,0.05637476,0.0001789521,0.00003854868,0.0001862718,0.0001197792,0.0009983599,0.004962537],"genre_scores_gemma":[0.9903584,0.00004304503,0.007981918,0.00006188839,0.0000227969,0.0001102822,0.0001476378,0.0003390362,0.0009349423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00760881,"threshold_uncertainty_score":0.04023975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444402000270492,"score_gpt":0.3386759661797294,"score_spread":0.3242319461770245,"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."}}