{"id":"W2990187802","doi":"10.1016/j.clineuro.2019.105626","title":"The influence of mental fatigue on the face and word encoding activations","year":2019,"lang":"en","type":"article","venue":"Clinical Neurology and Neurosurgery","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music","funders":"Cognitive Sciences and Technologies Council","keywords":"Precuneus; Functional magnetic resonance imaging; Medicine; Posterior cingulate; Cognition; Encoding (memory); Cognitive psychology; Audiology; Working memory; Neuroscience; Thalamus; Psychology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006763635,0.0001161783,0.0002005289,0.00003453594,0.0004881452,0.00002488043,0.0001540055,0.00006995845,0.000005937004],"category_scores_gemma":[0.02251823,0.00006802582,0.00006308209,0.0001524128,0.0008867617,0.0001000591,0.0002040013,0.0004998418,0.00001088637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001791639,"about_ca_system_score_gemma":0.00001791574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001555508,"about_ca_topic_score_gemma":0.000001889818,"domain_scores_codex":[0.9982281,0.0006647946,0.0003285696,0.0004474762,0.0001458664,0.0001852013],"domain_scores_gemma":[0.9008322,0.09870933,0.0001497886,0.0002514958,0.00001852954,0.00003867827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001372043,0.0002657488,0.8514745,0.00001983234,0.00003070179,0.00002113357,0.0002332443,0.0003643117,0.1196091,0.01685453,0.005073234,0.004681646],"study_design_scores_gemma":[0.0002515455,0.0005463499,0.9852724,0.00001195255,0.000006533244,0.00003041169,0.00003085821,0.0002590223,0.005492184,0.001051164,0.006950112,0.00009743463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543175,0.00002590264,0.000001420278,0.04439995,0.0007818656,0.000225358,0.000005528056,0.00002107449,0.0002213887],"genre_scores_gemma":[0.9737335,0.0005339687,5.361264e-7,0.02556939,0.00003423543,0.00001334638,1.344178e-7,0.000007987594,0.0001069401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133798,"threshold_uncertainty_score":0.9857155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09427502986195328,"score_gpt":0.3338371367979696,"score_spread":0.2395621069360163,"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."}}