{"id":"W3081073384","doi":"10.1152/jn.00360.2020","title":"Fractal analysis of muscle activity patterns during locomotion: pitfalls and how to avoid them","year":2020,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Government of Canada","keywords":"Fractal analysis; Neuroscience; Physical medicine and rehabilitation; Computer science; Psychology; Fractal; Communication; Fractal dimension; Mathematics; Medicine; Mathematical analysis","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":[0.01428336,0.001559118,0.002451934,0.002587659,0.0009355382,0.003618883,0.002441751,0.00349012,0.001119849],"category_scores_gemma":[0.05729515,0.0007712083,0.001203903,0.002033536,0.005627671,0.007471063,0.003330905,0.006595556,0.001452956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006564779,"about_ca_system_score_gemma":0.001290266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001640854,"about_ca_topic_score_gemma":0.002299146,"domain_scores_codex":[0.995863,0.001983739,0.0005152732,0.0005297058,0.001009053,0.00009923322],"domain_scores_gemma":[0.9707709,0.01856046,0.001954456,0.003969335,0.004037842,0.0007069606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002690635,0.0001362054,0.01194681,0.002968424,0.000598848,0.001019079,0.001495744,0.01119423,0.009015346,0.1252971,0.04729774,0.7887614],"study_design_scores_gemma":[0.0001372593,0.0002048869,0.008257897,0.002844266,0.000189565,0.002041599,0.001407969,0.08299333,0.005826523,0.8278846,0.06776614,0.0004460787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01692537,0.1033051,0.7831278,0.08778965,0.003863069,0.0002188303,0.0002224516,0.001988076,0.002559628],"genre_scores_gemma":[0.1870528,0.08228704,0.711221,0.008239665,0.006716221,0.0005239917,0.0002804907,0.0008690035,0.002809917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01428336,"threshold_uncertainty_score":0.07553852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531286808232765,"score_gpt":0.2242346608182053,"score_spread":0.1989217927358777,"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."}}