{"id":"W2108217420","doi":"10.1207/s15516709cog2702_7","title":"Area activation: a computational model of saccadic selectivity in visual search","year":2003,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Saccadic masking; Visual search; Counterintuitive; Stimulus (psychology); Computer science; Fixation (population genetics); Eye movement; Artificial intelligence; Psychology; Cognitive psychology; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0007671635,0.00008698207,0.0001066531,0.0003127432,0.0002354545,0.00005273386,0.0001454649,0.00003256852,0.0001025495],"category_scores_gemma":[0.001775594,0.00008567629,0.00002155447,0.001890313,0.0006510329,0.0005508531,0.00003701921,0.0001597328,0.00002274252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006544749,"about_ca_system_score_gemma":0.0006886105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000299495,"about_ca_topic_score_gemma":0.000001651356,"domain_scores_codex":[0.9984076,0.0001312485,0.0001524028,0.0004254498,0.000628059,0.0002552452],"domain_scores_gemma":[0.9993138,0.0002166252,0.00005880367,0.00004576864,0.0002847269,0.00008026211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002886089,0.0002107157,0.0005960052,0.00001087763,3.93366e-7,9.857547e-7,0.00105798,0.005855186,0.9804035,0.00509383,0.000002429533,0.006739221],"study_design_scores_gemma":[0.0002954195,0.00007309199,0.00304391,0.00003977508,0.000001019128,0.000004785556,0.0002339371,0.3138279,0.6744192,0.007973957,8.028718e-7,0.00008629883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8168702,0.000001367341,0.1753915,0.00003616142,0.00003204746,0.0001269563,0.000005212496,0.0000198484,0.007516822],"genre_scores_gemma":[0.9986221,0.000001505343,0.0008565856,0.0004180536,0.000003966226,0.000008562347,7.720402e-7,0.000005340349,0.00008310731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3079727,"threshold_uncertainty_score":0.3493778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483382741495083,"score_gpt":0.3926552873374294,"score_spread":0.2443170131879212,"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."}}