{"id":"W3027047923","doi":"10.1016/j.neuroimage.2020.116981","title":"Decoding motor imagery and action planning in the early visual cortex: Overlapping but distinct neural mechanisms","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"H2020 Marie Skłodowska-Curie Actions; H2020 European Research Council; European Research Council; Horizon 2020 Framework Programme; European Commission","keywords":"Premotor cortex; Functional magnetic resonance imaging; Motor imagery; Posterior parietal cortex; Psychology; Visual cortex; Neuroscience; Brain activity and meditation; Primary motor cortex; Neuroimaging; Motor cortex; Cognitive psychology; Electroencephalography; Dorsum; Brain–computer interface; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004068057,0.0003188301,0.0002835482,0.0004456747,0.0001056116,0.0006766391,0.0003015714,0.0004415272,0.0008344929],"category_scores_gemma":[0.003120612,0.0003165802,0.0002745347,0.0002337221,0.0006999929,0.0007413462,0.000643191,0.0004328629,0.0001371991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003198125,"about_ca_system_score_gemma":0.0003099842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783519,"about_ca_topic_score_gemma":0.001465437,"domain_scores_codex":[0.9996703,0.00005613778,0.00001779103,0.00009723264,0.00009170085,0.00006698576],"domain_scores_gemma":[0.9992549,0.0002998523,0.0002158324,0.000076759,0.00007856475,0.00007396647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009372589,0.0001527744,0.0255947,0.0003042138,0.0001341099,0.0006001266,0.001538399,0.002863792,0.8147177,0.00414008,0.0001907265,0.1488262],"study_design_scores_gemma":[0.0001418104,0.0006979129,0.8227336,0.00008043166,0.0001329547,0.001512384,0.0006381893,0.03284394,0.1259931,0.01431493,0.0008469434,0.00006382681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606879,0.0007776701,0.03388892,0.0001917424,0.0000150275,0.0000751476,0.00008314519,0.0001338341,0.004146547],"genre_scores_gemma":[0.9933327,0.0001932895,0.005638321,0.00003522618,0.000008490562,0.00002998302,0.00008078925,0.00001701782,0.0006642071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001783519,"threshold_uncertainty_score":0.003546238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08487014292592929,"score_gpt":0.3414049838244257,"score_spread":0.2565348408984964,"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."}}