{"id":"W91064846","doi":"","title":"The Area Activation Model of Saccadic Selectivity in Visual Search","year":2000,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Saccadic masking; Visual search; Eye movement; Psychology; Set (abstract data type); Task (project management); Fixation (population genetics); Experimental psychology; Artificial intelligence; Computer science; Cognitive psychology; Cognition; Population; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005777205,0.0003108197,0.0003765031,0.0004194118,0.0002127577,0.0006091702,0.001370928,0.0007405512,0.002774606],"category_scores_gemma":[0.001506643,0.0001844218,0.0006175663,0.0004151562,0.000663637,0.001063077,0.0004500581,0.0006131293,0.0006415943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006728977,"about_ca_system_score_gemma":0.0007377815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005748428,"about_ca_topic_score_gemma":0.00429294,"domain_scores_codex":[0.9998326,0.00003954208,0.000005913185,0.00004216416,0.00004198176,0.00003773269],"domain_scores_gemma":[0.9995986,0.0002479703,0.00003449045,0.00003547676,0.00004795005,0.00003564252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002605332,0.0000659817,0.002956341,0.0001134714,0.00008046535,0.0003101421,0.000396438,0.6770831,0.03007836,0.2540129,0.002060028,0.03258227],"study_design_scores_gemma":[0.00002394262,0.00003829777,0.001291162,0.00000398606,0.00001609266,0.00009682598,0.00001257333,0.9418751,0.0008556307,0.05533528,0.0004390974,0.00001208688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1841275,0.0004509265,0.7975807,0.001350782,0.00003927122,0.00005256023,0.000317623,0.0005569473,0.01552356],"genre_scores_gemma":[0.969139,0.0002756213,0.02353018,0.0001278612,0.00003846484,0.0001078788,0.00007487189,0.00006046144,0.006645585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005748428,"threshold_uncertainty_score":0.01142991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08486532715363282,"score_gpt":0.3117173963015729,"score_spread":0.22685206914794,"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."}}