{"id":"W2020051379","doi":"10.1167/14.14.11","title":"A working memory account of refixations in visual search","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research","keywords":"Disengagement theory; Working memory; Visual search; Inhibition of return; Cognitive psychology; Visual memory; Task (project management); Change detection; Psychology; Cognition; Set (abstract data type); Eye movement; N2pc; Visual attention; Neuroscience; Computer science; Artificial intelligence","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":[0.0009300094,0.0003345652,0.0003144293,0.0005127234,0.0001778201,0.0009553482,0.001049867,0.0004867215,0.002464207],"category_scores_gemma":[0.004206854,0.0001999631,0.0004994398,0.0002593552,0.0005943154,0.00184229,0.0005943946,0.0004646987,0.0002520437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003960208,"about_ca_system_score_gemma":0.0003448616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257122,"about_ca_topic_score_gemma":0.0007835904,"domain_scores_codex":[0.9997852,0.00004095388,0.00001733382,0.00006020842,0.00005159706,0.00004475731],"domain_scores_gemma":[0.9970748,0.001799184,0.0003642055,0.0004042778,0.0002241857,0.0001333946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003255219,0.001106907,0.0747271,0.0008694876,0.0005903732,0.002763621,0.003914714,0.05216682,0.3405134,0.1695521,0.00246401,0.3480762],"study_design_scores_gemma":[0.0004821818,0.001605959,0.1219843,0.0001025863,0.0003765076,0.002337726,0.0003738541,0.3992538,0.05105753,0.4184826,0.003809063,0.0001339134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900713,0.001121562,0.08521187,0.0006176212,0.00003722743,0.00003892891,0.0001147588,0.0002058444,0.01193922],"genre_scores_gemma":[0.9937351,0.0001934805,0.004695733,0.00004913006,0.00002626464,0.00002686601,0.00005907482,0.00001446263,0.001199789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002464207,"threshold_uncertainty_score":0.008243561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1683322624535194,"score_gpt":0.4571279493120923,"score_spread":0.2887956868585729,"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."}}