{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001448083,0.0001906545,0.0001992039,0.000101444,0.0002373894,0.0002687824,0.0003652868,0.00009138467,0.0001296067],"category_scores_gemma":[0.0001662938,0.0001306383,0.00008997203,0.0007165479,0.0002904098,0.002251372,0.000110244,0.0005124359,0.0002690287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002261721,"about_ca_system_score_gemma":0.00004807504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000295058,"about_ca_topic_score_gemma":0.000002117232,"domain_scores_codex":[0.9983409,0.0001405142,0.0003248459,0.0004399857,0.0003365971,0.0004171757],"domain_scores_gemma":[0.9993544,0.0002858553,0.00006346489,0.0001925533,0.00001649983,0.00008726669],"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":[0.00140858,0.001461351,0.3433228,0.00003220111,0.00001387572,0.00002867225,0.0001163038,0.00042873,0.3892603,0.0005107391,0.001246551,0.2621699],"study_design_scores_gemma":[0.0008862641,0.0002861516,0.05066354,0.00006134991,0.000008268857,0.00001159368,0.00003654935,0.003779517,0.9275687,0.01186819,0.004385591,0.0004442949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862927,0.00001769516,0.00001442054,0.001187154,0.00002916305,0.000239255,0.000233391,0.00009845188,0.0118878],"genre_scores_gemma":[0.9978415,0.00004324846,0.00001435459,0.000425036,0.00002335863,0.00001907842,0.0000123916,0.00002548359,0.001595589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5383084,"threshold_uncertainty_score":0.5327275,"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."}}