{"id":"W2275405768","doi":"10.3758/s13414-016-1065-z","title":"Perception of temporal order during the attentional blink: Using stimulus salience to modulate prior entry","year":2016,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Knowledge Development Fund; Simon Fraser University","keywords":"Attentional blink; Salience (neuroscience); Perception; Stimulus (psychology); Psychology; Salient; Cognitive psychology; Rapid serial visual presentation; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000324189,0.0003096517,0.0002500088,0.0002039946,0.00065302,0.000114437,0.000418584,0.0001350541,0.001708497],"category_scores_gemma":[0.00009900994,0.0002138483,0.0002278937,0.0009136787,0.0002533409,0.0007874034,0.0001130536,0.0001920714,0.000943321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001807859,"about_ca_system_score_gemma":0.00005897164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000026388,"about_ca_topic_score_gemma":0.000003155946,"domain_scores_codex":[0.9969968,0.0002538912,0.0006225063,0.0008003516,0.0008885241,0.0004379474],"domain_scores_gemma":[0.9986245,0.00005882277,0.0003311776,0.0005072608,0.0003114814,0.0001667571],"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":[0.0001455769,0.0002082069,0.001771494,0.00003730168,0.000006095876,9.145051e-7,0.0005084632,0.0004349352,0.9757204,0.0002808816,0.0001221408,0.02076359],"study_design_scores_gemma":[0.006689746,0.0008058153,0.9196692,0.00122042,0.0001731904,0.0001591372,0.003647741,0.0218624,0.03479536,0.007593881,0.001352473,0.002030715],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774337,0.000002696143,0.1199433,0.001059592,0.0007770142,0.0004351715,0.00003751898,0.0001317879,0.0001792031],"genre_scores_gemma":[0.9936192,0.00007691546,0.002230418,0.0008474528,0.0003739974,0.00003560201,0.00001084879,0.00004957568,0.002756005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9409251,"threshold_uncertainty_score":0.9998345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04483826764526427,"score_gpt":0.3339025373452471,"score_spread":0.2890642696999828,"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."}}