{"id":"W2087566557","doi":"10.1016/j.neuroimage.2013.10.061","title":"Drawing lines while imagining circles: Neural basis of the bimanual coupling effect during motor execution and motor imagery","year":2013,"lang":"en","type":"article","venue":"NeuroImage","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"Compagnia di San Paolo","keywords":"Motor imagery; Posterior parietal cortex; Psychology; Task (project management); Computer science; Coupling (piping); Cognitive psychology; Artificial intelligence; Neuroscience; Electroencephalography; Brain–computer interface; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001749024,0.0002165464,0.0002477022,0.000119826,0.0003446042,0.0001963903,0.0002527921,0.00004450009,0.00002687601],"category_scores_gemma":[0.0008619856,0.0001676722,0.0001288972,0.0002260871,0.0001917892,0.0008159441,0.0001657667,0.0002529799,0.00001515286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001947826,"about_ca_system_score_gemma":0.00001737582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000939221,"about_ca_topic_score_gemma":0.000001137784,"domain_scores_codex":[0.9983756,0.0001650486,0.0003405546,0.0004902596,0.0002947658,0.0003337617],"domain_scores_gemma":[0.9987921,0.0005248389,0.0002132571,0.0003235015,0.00006405162,0.00008232829],"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":[0.00003589228,0.0000195814,0.002976683,0.00008218894,0.000002222641,0.000007858724,0.0001523992,0.0001149122,0.9937208,0.00001049661,0.000007372036,0.002869563],"study_design_scores_gemma":[0.0009147769,0.000131066,0.4635329,0.00008225031,0.00003094676,0.00004143125,0.00005962308,0.1796648,0.3552593,0.00003510256,0.00003260135,0.0002151612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978653,0.00008020298,0.0001858445,0.0004404213,0.0004464285,0.0006890683,0.00001541581,0.0001070544,0.0001702226],"genre_scores_gemma":[0.9992024,0.00002017582,0.00009820978,0.0002498959,0.0001776743,0.00005992934,9.524941e-7,0.00003534152,0.0001554096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6384615,"threshold_uncertainty_score":0.6837472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678787555103543,"score_gpt":0.2321892781573121,"score_spread":0.2154014026062766,"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."}}