{"id":"W3082898328","doi":"10.1038/s41467-020-18210-4","title":"Plasticity of muscle synergies through fractionation and merging during development and training of human runners","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Chinese University of Hong Kong; Hong Kong Polytechnic University; Innovation and Technology Commission; Research Grants Council, University Grants Committee","keywords":"Motor skill; Physical medicine and rehabilitation; Nature versus nurture; Training (meteorology); Psychology; Computer science; Neuroscience; Biology; Medicine","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":[0.000290886,0.000155744,0.0002099467,0.0005672213,0.0001395959,0.0001984801,0.000142336,0.0001645398,0.001355886],"category_scores_gemma":[0.001011485,0.0002173715,0.0001130338,0.0001483223,0.0003251964,0.0001999742,0.0004219617,0.0001987476,0.0002402108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072254,"about_ca_system_score_gemma":0.0001521585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072976,"about_ca_topic_score_gemma":0.002135296,"domain_scores_codex":[0.9998628,0.00002650267,0.0000105118,0.000049448,0.00002556722,0.00002516838],"domain_scores_gemma":[0.9996845,0.00005968158,0.00008523819,0.00004393741,0.00004613595,0.0000806382],"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":[0.001144081,0.0001474502,0.1941091,0.000135181,0.0001340969,0.0007724327,0.001823435,0.0009402584,0.736746,0.0003193775,0.0002405366,0.063488],"study_design_scores_gemma":[0.000004002299,0.0002556646,0.9923605,0.000007027563,0.00001195575,0.0004810239,0.0001413547,0.0003945118,0.006022251,0.0001018858,0.000213203,0.000006686666],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988189,0.0001325957,0.0005945592,0.00001457299,0.000001408583,0.00000572934,0.00005343691,0.00001054455,0.0003681313],"genre_scores_gemma":[0.998614,0.00006534477,0.0005424625,0.000007790049,0.000001761625,0.000009060415,0.00007175712,0.000007281324,0.0006804196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001355886,"threshold_uncertainty_score":0.004535913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07241432995770783,"score_gpt":0.3049363502303276,"score_spread":0.2325220202726197,"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."}}