{"id":"W2036698485","doi":"10.1163/156856809789822970","title":"Feature-based attentional modulation increases with stimulus separation in divided-attention tasks","year":2009,"lang":"en","type":"article","venue":"Spatial Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Feature (linguistics); Stimulus (psychology); Fixation (population genetics); Attentional control; Psychology; Artificial intelligence; Cognitive psychology; Computer science; Pattern recognition (psychology); Cognition; Neuroscience; Population","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":[0.0004687635,0.0004074255,0.0005599057,0.0003337605,0.0001385782,0.0003872542,0.0004097826,0.0002985186,0.002636728],"category_scores_gemma":[0.00452097,0.0003903281,0.0002122987,0.0002001871,0.0002078563,0.0005068695,0.000689599,0.0005818415,0.0004989095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203094,"about_ca_system_score_gemma":0.000146771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005664158,"about_ca_topic_score_gemma":0.0006684083,"domain_scores_codex":[0.9997016,0.00004941504,0.00003174286,0.00006115576,0.0001099613,0.00004615944],"domain_scores_gemma":[0.9979809,0.001012926,0.0003706378,0.0002955777,0.0001459247,0.0001941062],"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":[0.002024725,0.000286356,0.003014817,0.0001377588,0.00003998624,0.0000811133,0.0002452981,0.0001852501,0.9745663,0.0001141154,0.0001477812,0.0191564],"study_design_scores_gemma":[0.0005912111,0.0028508,0.8183936,0.00006079812,0.0001313556,0.0006937374,0.0001063711,0.009908106,0.1637926,0.001821809,0.001591736,0.00005800063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959987,0.0003637209,0.002052812,0.00003501826,0.00001617249,0.00002606708,0.0000559403,0.00004570114,0.001405745],"genre_scores_gemma":[0.9967325,0.0001673885,0.001825362,0.00006988132,0.0000192777,0.00006416506,0.0001611042,0.000036173,0.0009242889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002636728,"threshold_uncertainty_score":0.008820772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812197180919512,"score_gpt":0.3375524244894366,"score_spread":0.3094304526802415,"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."}}