{"id":"W2554727052","doi":"10.1016/j.concog.2016.10.006","title":"EEG and fMRI agree: Mental arithmetic is the easiest form of imagery to detect","year":2016,"lang":"en","type":"article","venue":"Consciousness and Cognition","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University","funders":"Ontario Ministry of Research and Innovation; McMaster University; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; Canada Foundation for Innovation","keywords":"Electroencephalography; Mental image; Psychology; Cognitive psychology; Modalities; EEG-fMRI; Functional magnetic resonance imaging; Motor imagery; Modality (human–computer interaction); Task (project management); Brain activity and meditation; Consciousness; Audiology; Cognition; Neuroscience; Artificial intelligence; Brain–computer interface; Computer science","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":[0.0002454942,0.00008310387,0.0001599875,0.00007752942,0.00009517356,0.00002161491,0.00004101357,0.00004014017,0.0001425638],"category_scores_gemma":[0.0001619009,0.00004484997,0.00002534245,0.0001019288,0.0003278554,0.0000545087,0.00005421082,0.00005898076,0.00001775469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001444712,"about_ca_system_score_gemma":0.00003722308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000229754,"about_ca_topic_score_gemma":0.00004580432,"domain_scores_codex":[0.9993176,0.00002978839,0.000139806,0.0001589952,0.0001996688,0.0001541336],"domain_scores_gemma":[0.9993227,0.0002712627,0.00003791524,0.0001424003,0.0001238576,0.0001019074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003628155,0.00004804875,0.005301026,0.0002147955,0.00007370394,0.00001096539,0.001334127,1.950197e-9,0.1038694,0.0001545504,0.002029128,0.8866014],"study_design_scores_gemma":[0.01298334,0.003044849,0.726086,0.003154425,0.0006583814,0.001194573,0.0066359,0.0001351377,0.2131937,0.02790272,0.004334349,0.0006765975],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861934,0.0002124688,0.0007012834,0.01097021,0.00004942109,0.0005385531,0.00005945459,0.00001721825,0.001257991],"genre_scores_gemma":[0.9986042,0.0001325076,0.0001980861,0.0006397223,0.00003039198,0.00005259868,0.000003533222,0.000009559315,0.0003294322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8859248,"threshold_uncertainty_score":0.1828929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187011070870412,"score_gpt":0.2998225377332435,"score_spread":0.2679524270245394,"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."}}