{"id":"W2015335449","doi":"10.3758/s13414-014-0710-7","title":"Temporal cues and the attentional blink: A further examination of the role of expectancy in sequential object perception","year":2014,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Expectancy theory; Perception; Cognitive psychology; Distraction; Psychology; Context (archaeology); Object (grammar); Salient; Time perception; Information processing; Computer science; Social psychology; Artificial intelligence; Neuroscience; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007894755,0.00024435,0.0002271936,0.0003950856,0.0002468574,0.001154353,0.000495352,0.0005251595,0.00750572],"category_scores_gemma":[0.006853375,0.0001729089,0.0003362266,0.0003870964,0.0003426861,0.002109499,0.0005632811,0.0006669053,0.0002534247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387362,"about_ca_system_score_gemma":0.0004359047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207703,"about_ca_topic_score_gemma":0.001284194,"domain_scores_codex":[0.9998728,0.00002005702,0.00001017159,0.00002738076,0.00005288425,0.00001671218],"domain_scores_gemma":[0.9974157,0.001734703,0.0003261603,0.0002436549,0.0001775716,0.0001022715],"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":[0.003184306,0.0002909053,0.01491188,0.0005267142,0.00007350441,0.0005327375,0.0008345186,0.001464978,0.8746883,0.02173023,0.0004423192,0.08131955],"study_design_scores_gemma":[0.0004840867,0.003433625,0.6772217,0.0003725491,0.0003819546,0.002285086,0.001014911,0.0518708,0.1304069,0.1227621,0.009641346,0.0001250233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93119,0.00341358,0.04338618,0.00104859,0.0001846372,0.00009374394,0.0003633759,0.0001056562,0.02021432],"genre_scores_gemma":[0.9913355,0.0008701967,0.005773803,0.0001737848,0.00006364064,0.00002970528,0.00007991153,0.00004850994,0.001624907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00750572,"threshold_uncertainty_score":0.02510911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479166856575567,"score_gpt":0.2923970130833647,"score_spread":0.267605344517609,"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."}}