{"id":"W3203536237","doi":"10.1080/13506285.2021.1918811","title":"Dividing attentional capture","year":2021,"lang":"en","type":"article","venue":"Visual Cognition","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Luck; Milestone; Psychology; Cognitive psychology; Cognitive science; Cognition; Visual attention; Epistemology; Neuroscience; Philosophy; History","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":[],"consensus_categories":[],"category_scores_codex":[0.00002994186,0.0000684593,0.00006577041,0.00002604436,0.000187471,0.00002730167,0.00003487616,0.00003619612,0.0003138795],"category_scores_gemma":[0.00007450758,0.00006040875,0.00004742791,0.0001717424,0.00006075721,0.0001092333,0.00004479989,0.0001019541,0.000301901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006735037,"about_ca_system_score_gemma":0.000007472605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001092972,"about_ca_topic_score_gemma":0.000003055566,"domain_scores_codex":[0.9993191,0.00006100597,0.00008520724,0.0002598506,0.0001439815,0.0001308984],"domain_scores_gemma":[0.9997976,0.00005016329,0.00002680545,0.00004200654,0.00005368265,0.00002969086],"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":[0.000008511131,0.0001165922,0.0009787456,0.000003649472,0.00000222665,0.00009726862,0.00002250739,1.218143e-7,0.9957084,0.0002330205,0.0007413157,0.00208761],"study_design_scores_gemma":[0.0003103612,0.0000524256,0.01289526,0.00001896692,0.00003339727,0.0001129558,0.00010892,0.00000998008,0.9832236,0.002003806,0.001107568,0.0001227237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928303,0.00003897001,0.00006675064,0.001064458,0.0004412518,0.00004727929,0.00001799922,0.00006932009,0.005423653],"genre_scores_gemma":[0.9963328,0.00001734698,0.00002007894,0.002106885,0.0001004264,0.00001011751,0.0000204722,0.000005518193,0.001386371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0124848,"threshold_uncertainty_score":0.3880428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2203322815785929,"score_gpt":0.4241643802434215,"score_spread":0.2038320986648285,"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."}}