{"id":"W2937883415","doi":"","title":"Thumbs up! (or down): Movement imagery may induce changes in cortical movement representation","year":2018,"lang":"en","type":"article","venue":"","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Thumb; Movement (music); Motor imagery; Psychology; Motor learning; Physical medicine and rehabilitation; Training (meteorology); Motor control; Representation (politics); Neuroplasticity; Neuroscience; Electroencephalography; Medicine; Anatomy; Brain–computer interface; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001407758,0.0003135531,0.0001903656,0.0001715369,0.00008897303,0.0001403762,0.0001517875,0.0002773217,0.005733885],"category_scores_gemma":[0.0007780726,0.0001017936,0.0001677344,0.00009984097,0.0003021697,0.0002044217,0.0002848284,0.0004270031,0.0003857375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039363,"about_ca_system_score_gemma":0.0001235387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003624534,"about_ca_topic_score_gemma":0.0006418271,"domain_scores_codex":[0.9999118,0.0000191263,0.000007085253,0.00002564735,0.00001961884,0.00001673171],"domain_scores_gemma":[0.9998036,0.00006932546,0.00005202919,0.00002720417,0.00001126583,0.00003646735],"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":[0.004435516,0.000527263,0.002456865,0.0005638566,0.00003218768,0.0005443261,0.0003474058,0.0001346894,0.9504046,0.0004051864,0.0005239035,0.03962415],"study_design_scores_gemma":[0.001173605,0.03118213,0.4753093,0.00030561,0.0003272688,0.008056917,0.0009979777,0.003709826,0.4645827,0.003427173,0.01086862,0.00005891059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924626,0.00051259,0.003023366,0.0001972802,0.00006627474,0.0001041848,0.0000864336,0.00008138696,0.003465779],"genre_scores_gemma":[0.995021,0.000235802,0.002426553,0.00008820374,0.00001511569,0.00009466382,0.00006683344,0.00001010948,0.002041689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005733885,"threshold_uncertainty_score":0.01918173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07270132430718869,"score_gpt":0.3207402360863236,"score_spread":0.248038911779135,"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."}}