{"id":"W3042442731","doi":"10.1038/s41531-020-0118-0","title":"Repetitive transcranial magnetic stimulation improves Parkinson’s freezing of gait via normalizing brain connectivity","year":2020,"lang":"en","type":"article","venue":"npj Parkinson s Disease","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"National Key Research and Development Program of China; Beijing Municipal Administration of Hospitals; Beijing Talents Fund; National Natural Science Foundation of China","keywords":"Gait; Parkinson's disease; Biomarker; Transcranial magnetic stimulation; Medicine; Physical medicine and rehabilitation; Gait analysis; Internal medicine; Psychology; Disease; Stimulation; Chemistry","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003054462,0.0003665517,0.0004518427,0.0001287391,0.0003292118,0.00006244023,0.0002880533,0.00008679356,0.0002118299],"category_scores_gemma":[0.01103464,0.0003932471,0.0002700295,0.0005861486,0.0003027655,0.0005262258,0.0001299995,0.0002769526,0.00004733588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009065332,"about_ca_system_score_gemma":0.0001347986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001304722,"about_ca_topic_score_gemma":0.00004470331,"domain_scores_codex":[0.9967569,0.0004648672,0.0004866066,0.001111353,0.0007170735,0.0004632587],"domain_scores_gemma":[0.9948563,0.00395646,0.0002618734,0.0003633959,0.0001296503,0.0004323175],"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":[0.002672754,0.0004329497,0.03748417,0.0003350862,0.00003755571,0.0001252959,0.001800893,0.001174451,0.9363369,0.001193626,0.001670313,0.01673602],"study_design_scores_gemma":[0.005137065,0.001654159,0.6229515,0.0001779763,0.0003043843,0.00001409091,0.0003641536,0.08406875,0.2044211,0.002493914,0.07698504,0.001427818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796244,0.0004312988,0.006048048,0.01101905,0.0003827522,0.0008376298,0.0002850505,0.0002819099,0.00108986],"genre_scores_gemma":[0.9924098,0.00003183648,0.0002015223,0.00684865,0.0003261013,0.0000779416,0.00001014288,0.00005142533,0.00004259255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7319158,"threshold_uncertainty_score":0.9998519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082913977084558,"score_gpt":0.2531733142017255,"score_spread":0.2223441744308799,"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."}}