{"id":"W2995266970","doi":"10.1111/psyp.13511","title":"A multivariate investigation of visual word, face, and ensemble processing: Perspectives from EEG‐based decoding and feature selection","year":2019,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoding methods; Feature (linguistics); Electroencephalography; Feature selection; Pattern recognition (psychology); Psychology; Computer science; Artificial intelligence; Face (sociological concept); Word (group theory); Speech recognition; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00004552425,0.0001033219,0.000149129,0.00009629919,0.0000750949,0.00002196205,0.00003459952,0.0001091421,0.00006285062],"category_scores_gemma":[0.00006579157,0.00009510047,0.00002053855,0.0001731025,0.0001080517,0.0001534088,0.00001299687,0.0001304754,0.00002172473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001360442,"about_ca_system_score_gemma":0.00002013787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002878744,"about_ca_topic_score_gemma":0.000007421148,"domain_scores_codex":[0.999202,0.0001336755,0.00009244758,0.0003863592,0.00006914813,0.0001163315],"domain_scores_gemma":[0.9996307,0.0001264873,0.0001030541,0.00005311232,0.00004160472,0.00004505772],"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":[0.000167421,0.00002989561,0.002510454,0.00002851733,0.000002541171,1.090398e-7,0.001651766,0.00001601631,0.9898064,0.00002006935,0.00002805759,0.005738806],"study_design_scores_gemma":[0.002230987,0.0004746563,0.3388306,0.0001099666,0.00002005635,0.000006673322,0.001587468,0.06310195,0.5905444,0.002712096,0.00009189667,0.0002892772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985311,0.00005439663,0.0006160066,0.0003016922,0.0001097329,0.0001990905,0.000009345827,0.0000394197,0.0001392218],"genre_scores_gemma":[0.998439,0.00005712636,0.001077144,0.0002798063,0.00003452632,0.000009931373,0.00001187643,0.000009686622,0.00008091845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.399262,"threshold_uncertainty_score":0.3878085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719573237904073,"score_gpt":0.3081356422990774,"score_spread":0.2809399099200366,"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."}}