{"id":"W2971464184","doi":"10.3758/s13414-019-01846-w","title":"No one knows what attention is","year":2019,"lang":"en","type":"review","venue":"Attention Perception & Psychophysics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":597,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University; Université de Montréal; University of Alberta","funders":"China Scholarship Council; National Science Foundation","keywords":"Computer science; Construct (python library); Set (abstract data type); Focus (optics); Cognitive science; Selective attention; Unitary state; Point (geometry); Neural system; Term (time); Cognitive psychology; Artificial intelligence; Psychology; Cognition; Neuroscience; Mathematics; Political science","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":[0.001431686,0.0007057959,0.001230279,0.001840255,0.0009546098,0.003310554,0.001508154,0.003880775,0.006674047],"category_scores_gemma":[0.003459686,0.0003089973,0.000510141,0.001282345,0.004396955,0.007196819,0.001774032,0.004215984,0.004801971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045499,"about_ca_system_score_gemma":0.002468511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004192519,"about_ca_topic_score_gemma":0.002938396,"domain_scores_codex":[0.9992131,0.0001638841,0.00006983538,0.0002373168,0.0002337454,0.00008216918],"domain_scores_gemma":[0.9985807,0.0007899659,0.00008194398,0.0001009385,0.0003438503,0.0001026109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005949659,0.0000311417,0.0003663365,0.006382575,0.000110252,0.0001697913,0.0006707726,0.000236775,0.0009177044,0.1300737,0.08084417,0.7801373],"study_design_scores_gemma":[0.000009604771,0.00002529234,0.0006535403,0.003001988,0.0000480954,0.000591568,0.0003083716,0.0000652383,0.0002822505,0.05863981,0.9363494,0.00002478302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002449558,0.9681075,0.001832292,0.01442066,0.002386986,0.000005775022,0.00004170907,0.00003149006,0.01292863],"genre_scores_gemma":[0.01081965,0.9614043,0.0008766278,0.01497977,0.0039417,0.00002623209,0.0001105123,0.00003237489,0.007808744],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006674047,"threshold_uncertainty_score":0.02232695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017397595663152,"score_gpt":0.3489623604821781,"score_spread":0.2472226009158629,"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."}}