{"id":"W3107281007","doi":"10.3758/s13414-020-02193-x","title":"Getting it right from the start: Attentional control settings without a history of target selection","year":2020,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Cognitive psychology; Priming (agriculture); Attentional control; Task (project management); Attentional blink; Set (abstract data type); Control (management); Selection (genetic algorithm); Cognition; Computer science; Artificial intelligence; 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":[0.0009590051,0.0003672876,0.0004801583,0.0005229035,0.001022918,0.002998077,0.0009702247,0.001326403,0.009508311],"category_scores_gemma":[0.01119027,0.0004041818,0.0002909115,0.0002718945,0.001464791,0.003919363,0.00197545,0.001883815,0.001058925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840565,"about_ca_system_score_gemma":0.000470004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006686698,"about_ca_topic_score_gemma":0.0005780198,"domain_scores_codex":[0.9992142,0.0001319778,0.00004501483,0.0003067373,0.0001739771,0.0001280691],"domain_scores_gemma":[0.9958491,0.001630011,0.0003617085,0.001044207,0.00032585,0.000789084],"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":[0.008010157,0.001929392,0.02460417,0.0004960581,0.0003885664,0.004278758,0.003224832,0.008706605,0.5397267,0.196095,0.006401849,0.206138],"study_design_scores_gemma":[0.0009499184,0.003526009,0.0938962,0.0002273158,0.0004429442,0.006268851,0.002318404,0.1529777,0.1416792,0.5838649,0.01344219,0.0004063867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492998,0.0007570612,0.1032343,0.001909162,0.0003765741,0.0001125922,0.0001635888,0.000757296,0.04338973],"genre_scores_gemma":[0.9883978,0.00006629133,0.009600054,0.0002041418,0.00004910106,0.00002426466,0.00003819009,0.0000958357,0.001524267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009508311,"threshold_uncertainty_score":0.0318085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07823550051869023,"score_gpt":0.3152199409824331,"score_spread":0.2369844404637429,"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."}}