{"id":"W3202914089","doi":"10.1007/s00221-021-06232-3","title":"Examining the role of the supplementary motor area in motor imagery-based skill acquisition","year":2021,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SMA*; Motor learning; Supplementary motor area; Psychology; Motor skill; Dreyfus model of skill acquisition; Context (archaeology); Motor imagery; Stimulation; Neuroscience; Modalities; Encoding (memory); Cognitive psychology; Communication; Computer science; Functional magnetic resonance imaging; Electroencephalography; Biology; Brain–computer interface","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003546621,0.0002576684,0.0001667502,0.0002548764,0.0001251214,0.0003380449,0.0002849556,0.0003792508,0.004391373],"category_scores_gemma":[0.002381707,0.000187621,0.00008894996,0.0001015051,0.0007019757,0.0006163918,0.0002803449,0.0006983648,0.0003511541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002411884,"about_ca_system_score_gemma":0.0008225439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186407,"about_ca_topic_score_gemma":0.001997957,"domain_scores_codex":[0.9998832,0.00002261256,0.000006789407,0.00003349121,0.00003024684,0.00002361267],"domain_scores_gemma":[0.9987935,0.0006758251,0.0002253977,0.0001078747,0.0000662075,0.000131155],"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":[0.00459253,0.001462843,0.02815124,0.0003356953,0.00007218728,0.0005849716,0.0005727268,0.0008969816,0.8797278,0.003536136,0.0004203485,0.0796466],"study_design_scores_gemma":[0.0004738803,0.007560318,0.82493,0.00008502949,0.0001252533,0.001799031,0.0006930734,0.009148906,0.146198,0.006391018,0.002574253,0.00002107936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967975,0.0001485777,0.001073728,0.00009820914,0.00001534305,0.00001643359,0.00003895485,0.00001036508,0.001801003],"genre_scores_gemma":[0.9969608,0.0001163937,0.001163788,0.00004975293,0.000008377019,0.00003408922,0.00006120543,0.000009473603,0.001596153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004391373,"threshold_uncertainty_score":0.01469058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0664419882031602,"score_gpt":0.4097476126093105,"score_spread":0.3433056244061503,"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."}}