{"id":"W2799983351","doi":"10.1371/journal.pcbi.1006123","title":"A modelling approach for exploring muscle dynamics during cyclic contractions","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Muscle contraction; Harmonic oscillator; Biological system; Dynamics (music); Computer science; Biomechanics; Control theory (sociology); Physics; Mechanics; Anatomy; Biology; Classical mechanics; Artificial intelligence; Control (management); Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003826487,0.000111537,0.0001382358,0.0001438583,0.0002390917,0.0000145131,0.00006763142,0.00004966689,0.000007482337],"category_scores_gemma":[0.00001516596,0.0001183554,0.00005897195,0.0001605164,0.00005949695,0.0001090547,0.00001337171,0.00008486037,0.000002603211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006135838,"about_ca_system_score_gemma":0.000007632072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005094337,"about_ca_topic_score_gemma":0.00000312415,"domain_scores_codex":[0.999357,0.00001248803,0.0001726847,0.0001737197,0.00005211425,0.0002319736],"domain_scores_gemma":[0.9996128,0.0001422003,0.00002864075,0.00006855457,0.0001116405,0.00003612675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001692756,0.00005815387,0.0003202868,0.00005030314,0.0002114192,1.25579e-7,0.000235113,0.9792745,0.003628873,0.01232348,0.00005185027,0.003829025],"study_design_scores_gemma":[0.0002995331,0.00003864767,0.002467682,0.000005350955,0.00001262599,0.000002023278,0.00008236389,0.9928333,0.0005175769,0.003354396,0.0002525465,0.0001339254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3856824,0.00003903906,0.6127473,0.00004598098,0.0001154964,0.000143948,0.00002028557,0.0002188843,0.0009866358],"genre_scores_gemma":[0.9644834,0.00002435164,0.03479173,0.00002853356,0.000255667,0.0002473708,0.0001399927,0.00002093995,0.000008011392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.578801,"threshold_uncertainty_score":0.4826395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528780185413956,"score_gpt":0.2397715298545685,"score_spread":0.1868935113131729,"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."}}