{"id":"W1988433382","doi":"10.1037/a0019954","title":"How do selected arrows guide visuospatial attention? Dissociating symbolic value and spatial proximity.","year":2010,"lang":"en","type":"letter","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Cued speech; Cognitive psychology; Arrow; Psychology; Selection (genetic algorithm); Attentional control; Control (management); Visual attention; Working memory; Perception; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003403346,0.0006976753,0.0009427259,0.0004508558,0.0009495589,0.000260521,0.0006919633,0.001422354,0.0002986642],"category_scores_gemma":[0.00008340015,0.0005886171,0.0003193934,0.0002600359,0.0009713282,0.0008500866,0.0001709635,0.005643216,0.00003946776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668766,"about_ca_system_score_gemma":0.00004046713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002038381,"about_ca_topic_score_gemma":0.000009306361,"domain_scores_codex":[0.9959888,0.0004165696,0.00113241,0.0009624379,0.0007653185,0.0007344378],"domain_scores_gemma":[0.9974674,0.00006755359,0.001659712,0.0004063213,0.0002529781,0.0001460207],"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":[0.00009957102,0.0002929231,0.008312428,0.00003339146,0.00003345976,0.0001314738,0.0006482498,1.544368e-7,0.8807889,0.000002215972,0.1078577,0.001799497],"study_design_scores_gemma":[0.01169847,0.01327235,0.5757712,0.0009595615,0.0007330505,0.01083989,0.00137523,0.00009078909,0.2561071,0.0002796848,0.1246965,0.004176295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316921,0.0001431855,0.0000233489,0.06424141,0.002869998,0.0004497681,0.00002023562,0.00006549089,0.0004944987],"genre_scores_gemma":[0.9177838,0.0002225864,0.0001839387,0.07455171,0.00537464,0.00004415982,0.00002706339,0.00008364602,0.001728473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6246819,"threshold_uncertainty_score":0.999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06422748124750917,"score_gpt":0.3841214462859355,"score_spread":0.3198939650384264,"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."}}