{"id":"W2855298186","doi":"10.1016/j.clinph.2018.06.020","title":"Doing it the other way round – Mapping motor function by intrinsic activity","year":2018,"lang":"en","type":"letter","venue":"Clinical Neurophysiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Motor function; Function (biology); Neuroscience; Physical medicine and rehabilitation; Psychology; Medicine; Biology; Cell 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":[0.0008111831,0.0004871459,0.0004446382,0.0003730368,0.0007906549,0.001590127,0.0005658829,0.006532834,0.003679913],"category_scores_gemma":[0.009961791,0.0001405257,0.0003764342,0.0002374387,0.002162909,0.002128664,0.0006668735,0.009141812,0.004520046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006169036,"about_ca_system_score_gemma":0.0005016173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006448885,"about_ca_topic_score_gemma":0.00115376,"domain_scores_codex":[0.9995781,0.0001274336,0.00004976759,0.00008106099,0.0001277734,0.00003589551],"domain_scores_gemma":[0.9983107,0.0009873528,0.00009424648,0.0001966147,0.0002894586,0.0001216867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003676079,0.00007901824,0.003064912,0.0002636932,0.00008303887,0.01538311,0.0004165313,0.0002605801,0.007318639,0.02973992,0.6825247,0.2604983],"study_design_scores_gemma":[0.0002013545,0.0002279036,0.003788293,0.0003858539,0.00007569534,0.06709892,0.0006967057,0.003019453,0.009342925,0.1955158,0.7195393,0.0001076748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007830645,0.007427503,0.02982526,0.880946,0.04484616,0.00007755998,0.0001641806,0.0005445914,0.02833803],"genre_scores_gemma":[0.1828438,0.008889384,0.03099067,0.6010853,0.09633467,0.0003511485,0.0001370302,0.0003352996,0.07903273],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.006532834,"threshold_uncertainty_score":0.0123105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07859594524711051,"score_gpt":0.3281516339101654,"score_spread":0.2495556886630549,"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."}}