{"id":"W2056723632","doi":"10.1016/j.brainres.2009.09.005","title":"Challenging the brain: Exploring the link between effort and cortical activation","year":2009,"lang":"en","type":"article","venue":"Brain Research","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Waterloo; Heart and Stroke Foundation; Toronto Rehabilitation Institute; Sunnybrook Health Science Centre; Health Sciences Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Functional magnetic resonance imaging; Supplementary motor area; Psychology; Neuroscience; Premotor cortex; Task (project management); Brain activity and meditation; Cerebellum; Thalamus; Physical medicine and rehabilitation; Electroencephalography; Medicine; Anatomy","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":[0.002477896,0.000108638,0.0001113049,0.000109784,0.0009906532,0.0002994622,0.0005854135,0.00004687292,0.00001191826],"category_scores_gemma":[0.002407794,0.0000602539,0.00003709696,0.0004211423,0.0003131929,0.0002513546,0.0002347084,0.0009039118,0.00002679648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002885956,"about_ca_system_score_gemma":0.00003094345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001151816,"about_ca_topic_score_gemma":0.000001684786,"domain_scores_codex":[0.997688,0.0005473292,0.0001768278,0.0003791236,0.0006898814,0.0005188141],"domain_scores_gemma":[0.9917816,0.007683374,0.00002735232,0.0003676371,0.00005028212,0.00008975687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006232259,0.00003826252,0.001021948,0.00003281112,0.00001472027,0.00002454737,0.00750708,0.00006860687,0.2346265,0.03290867,0.007261945,0.7164326],"study_design_scores_gemma":[0.0008509316,0.0009984274,0.3240653,0.0002536125,0.000007014036,0.00005285034,0.001834407,0.01019966,0.5258505,0.01575157,0.1196866,0.0004490275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7505247,0.00003265056,0.0004901033,0.2468424,0.00005911242,0.0002985091,9.563516e-7,0.00005148222,0.001700051],"genre_scores_gemma":[0.9963961,0.0000359155,0.00002738964,0.002065077,0.0009290656,0.00002927713,6.767057e-7,0.00001152918,0.0005049184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7159836,"threshold_uncertainty_score":0.7619403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2665339289505831,"score_gpt":0.4075087765242161,"score_spread":0.1409748475736329,"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."}}