{"id":"W2004745157","doi":"10.1523/jneurosci.3176-05.2006","title":"Dissociating Arbitrary Stimulus-Response Mapping from Movement Planning during Preparatory Period: Evidence from Event-Related Functional Magnetic Resonance Imaging","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"SMA*; Premotor cortex; Supplementary motor area; Psychology; Functional magnetic resonance imaging; Dissociation (chemistry); Motor area; Stimulus (psychology); Neuroscience; Anterior cingulate cortex; Brain mapping; Parietal lobe; Dorsum; Choice reaction time; Superior parietal lobule; Frontal lobe; Posterior parietal cortex; Cognitive psychology; Cognition; Computer science; Anatomy; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006963502,0.0002966268,0.000339111,0.0002563068,0.0005913514,0.0004208974,0.0008463138,0.00005650404,0.00005488203],"category_scores_gemma":[0.0015589,0.0002744163,0.0001807362,0.0005651425,0.0002624236,0.001572847,0.0002695107,0.0006405377,0.000009961618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980036,"about_ca_system_score_gemma":0.000208863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005119105,"about_ca_topic_score_gemma":0.000001705393,"domain_scores_codex":[0.9958816,0.000552033,0.001070121,0.0007441406,0.001207953,0.0005441586],"domain_scores_gemma":[0.9971121,0.001416934,0.0009149539,0.0002914252,0.0001001569,0.0001644173],"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":[0.0003143646,0.00008732248,0.03805151,0.000005594178,0.000001473149,0.0006397985,0.0008765345,0.01045745,0.9488416,0.00000667753,0.0002219281,0.0004957059],"study_design_scores_gemma":[0.0007006282,0.000166586,0.8105015,0.0009258157,0.00001409399,0.0001742556,0.0002091739,0.03873137,0.1471986,0.0007412854,0.0003313683,0.0003053177],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918265,0.00366059,0.001828711,0.0006198015,0.001764691,0.0001409721,0.0000298563,0.0000688134,0.00006008641],"genre_scores_gemma":[0.9975488,0.00002557121,0.0007641315,0.0009613547,0.0003412715,0.0000044297,5.22584e-7,0.00002491953,0.0003290421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.801643,"threshold_uncertainty_score":0.9999708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563471642563223,"score_gpt":0.2684868336307658,"score_spread":0.2428521172051335,"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."}}