{"id":"W2474058195","doi":"10.1080/13506285.2016.1195470","title":"Attentional capture by items that match episodic long-term memory representations","year":2016,"lang":"en","type":"article","venue":"Visual Cognition","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Rapid serial visual presentation; Psychology; Cognitive psychology; Task (project management); Episodic memory; Set (abstract data type); Attentional blink; Perception; Inhibition of return; Visual search; Visual attention; Cognition; Communication; Computer science; 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":[0.000547413,0.0001888574,0.0003064759,0.0002377561,0.0001913797,0.0008814625,0.0005948481,0.000348912,0.001415507],"category_scores_gemma":[0.004708147,0.0002263879,0.0002303066,0.0002420126,0.0003044121,0.001113033,0.0009302606,0.0003313898,0.0002074333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340938,"about_ca_system_score_gemma":0.0001891014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006283395,"about_ca_topic_score_gemma":0.0007809128,"domain_scores_codex":[0.9995095,0.00005643475,0.00005736437,0.0001553077,0.0001515182,0.00006987508],"domain_scores_gemma":[0.9977061,0.0008707255,0.000488826,0.0006027541,0.0001804561,0.0001511774],"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":[0.000572344,0.0001434248,0.01208679,0.0001550956,0.00009950392,0.0001817067,0.0003982731,0.0007165772,0.9533103,0.001481374,0.000143499,0.03071114],"study_design_scores_gemma":[0.0001500987,0.001984833,0.501984,0.00007686204,0.0002558949,0.001408305,0.0005500238,0.01533573,0.4676718,0.006993612,0.003514141,0.00007481029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899237,0.0001541372,0.007699018,0.00002317149,0.000008057385,0.00002517027,0.00003732248,0.00004455063,0.002085015],"genre_scores_gemma":[0.9964375,0.00005243325,0.003102138,0.0000286643,0.000006457643,0.00001657623,0.00007479643,0.00001395009,0.00026745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001415507,"threshold_uncertainty_score":0.00473541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1507006019868324,"score_gpt":0.4092575741764233,"score_spread":0.258556972189591,"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."}}