{"id":"W2789923965","doi":"10.1016/j.ijpsycho.2018.03.004","title":"Early and late selection processes have separable influences on the neural substrates of attention","year":2018,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"N2pc; Salient; Selection (genetic algorithm); Selective attention; Similarity (geometry); Visual search; Psychology; Pattern recognition (psychology); Cognitive psychology; Visual spatial attention; Visual attention; Communication; Artificial intelligence; Computer science; Neuroscience; Cognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000788359,0.0004802629,0.0004496175,0.0004811163,0.0002165732,0.00129784,0.0003157902,0.000559082,0.003108679],"category_scores_gemma":[0.003306801,0.0003563537,0.0003407685,0.0003016263,0.0004852508,0.0007991033,0.0005012971,0.0009493555,0.0003577169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154047,"about_ca_system_score_gemma":0.0003578668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006827517,"about_ca_topic_score_gemma":0.001039614,"domain_scores_codex":[0.9996949,0.00004658057,0.00001697844,0.00007466475,0.00008109189,0.00008592131],"domain_scores_gemma":[0.9975612,0.001597968,0.0002428619,0.0001341262,0.0002072782,0.0002566325],"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":[0.00316443,0.0002352348,0.02511827,0.0001716006,0.00009967519,0.0002495158,0.0005541716,0.0004460189,0.9016936,0.00403278,0.000515689,0.06371904],"study_design_scores_gemma":[0.0002078622,0.0006024691,0.9438272,0.00004604625,0.0001212582,0.0004220707,0.0002892827,0.003691997,0.04324272,0.006494259,0.001006661,0.00004814496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815452,0.001120097,0.01024922,0.0003012205,0.0001146072,0.00003816944,0.0001833446,0.00008604635,0.006362186],"genre_scores_gemma":[0.9936861,0.0005768244,0.002667948,0.0001727019,0.0001293729,0.00004652966,0.0002054183,0.0001243754,0.002390688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003108679,"threshold_uncertainty_score":0.01039958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08212036875777938,"score_gpt":0.3880074136969925,"score_spread":0.3058870449392131,"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."}}