{"id":"W1561658484","doi":"10.1111/psyp.12174","title":"Late electrophysiological modulations of feature‐based attention to object shapes","year":2014,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; York University; University of Toronto; Western University","funders":"","keywords":"Psychology; Perception; Object (grammar); Feature (linguistics); Communication; Electrophysiology; Cognitive psychology; Modulation (music); Visual perception; Pattern recognition (psychology); Artificial intelligence; Neuroscience; Computer science; Physics","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":[0.000173212,0.0001890781,0.0001214392,0.0001708941,0.0000884101,0.0002604197,0.0001258955,0.0002740363,0.002021471],"category_scores_gemma":[0.001468463,0.0001090694,0.00008596301,0.0001303611,0.0002016259,0.000251617,0.0001964775,0.0003196223,0.0002332853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293998,"about_ca_system_score_gemma":0.00008084821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003977792,"about_ca_topic_score_gemma":0.0005230817,"domain_scores_codex":[0.9999233,0.00001363168,0.000003463975,0.00002454861,0.00002305174,0.00001205585],"domain_scores_gemma":[0.999581,0.0002284265,0.00007998484,0.00002129436,0.00005564455,0.0000336685],"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":[0.0002132196,0.00002012305,0.001374763,0.0000386532,0.000004445247,0.00007845616,0.00009048662,0.00002695666,0.9930681,0.0001336352,0.00004227842,0.004908842],"study_design_scores_gemma":[0.00007566395,0.0006065398,0.8126342,0.00002774103,0.00004296589,0.0009191368,0.0003093447,0.001624695,0.1811189,0.00159566,0.0010274,0.00001778188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905336,0.000423188,0.005143816,0.00006905594,0.00002574559,0.00003514655,0.0001379982,0.00003231834,0.003599078],"genre_scores_gemma":[0.9971113,0.0001980584,0.001477393,0.0000607464,0.00001950431,0.00003500513,0.00007604055,0.00001252373,0.001009392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002021471,"threshold_uncertainty_score":0.006762445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04273965460518552,"score_gpt":0.3343271286844509,"score_spread":0.2915874740792653,"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."}}