{"id":"W3137949740","doi":"10.1016/j.biopsycho.2021.108076","title":"Development and recovery time of mental fatigue and its impact on motor function","year":2021,"lang":"en","type":"article","venue":"Biological Psychology","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Interior Health; Simon Fraser University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Psychology; Mental fatigue; Electroencephalography; Motor function; Neural correlates of consciousness; Motor skill; Motor learning; Physical medicine and rehabilitation; Audiology; Developmental psychology; Cognition; Neuroscience; Medicine; Clinical psychology; Engineering","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":[0.00007468609,0.0001344283,0.0002164613,0.00003931152,0.00008465052,0.000005790024,0.00005796775,0.0001262746,0.0001937458],"category_scores_gemma":[0.00008288857,0.00008231891,0.00003943224,0.00009300389,0.0001758689,0.00003445776,0.00007416715,0.0001108524,0.00004994796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009949993,"about_ca_system_score_gemma":0.000006264493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.211833e-7,"about_ca_topic_score_gemma":3.014199e-7,"domain_scores_codex":[0.9989694,0.0001312294,0.0001845742,0.0004766332,0.0000586197,0.0001795414],"domain_scores_gemma":[0.9996641,0.0001091236,0.00006334345,0.00008913851,0.00001714046,0.00005714994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004377845,0.0001898139,0.003410466,0.000002221241,0.000008648144,0.0000219239,0.00003294317,8.338919e-8,0.9812282,0.00006343265,0.0005362322,0.01406822],"study_design_scores_gemma":[0.0008195812,0.002902881,0.7375422,0.00001374787,0.000009517855,0.0001606006,0.00002623465,0.000002871756,0.2546762,0.0005062282,0.003140446,0.0001995113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976388,0.000269122,0.000003572619,0.0005606447,0.0003049317,0.0001151863,0.00002490282,0.00002570882,0.001057108],"genre_scores_gemma":[0.9973248,0.0002669586,0.00007150894,0.001928822,0.00002472799,0.000009750956,0.000005592483,0.000004007374,0.0003637956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7341317,"threshold_uncertainty_score":0.3356868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2764489520165523,"score_gpt":0.426278245121022,"score_spread":0.1498292931044696,"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."}}