{"id":"W2114033743","doi":"10.1007/s00422-007-0197-6","title":"Nonlinearities make a difference: comparison of two common Hill-type models with real muscle","year":2007,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Isometric exercise; Series (stratigraphy); Contraction (grammar); Component (thermodynamics); Force field (fiction); Type (biology); Excitation–contraction coupling; Mathematics; Mechanics; Mathematical analysis; Physics; Computer science; Skeletal muscle; Anatomy; Artificial intelligence; Geology","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":[0.001420565,0.000456919,0.0008165968,0.0005724148,0.0003358118,0.001092542,0.002239977,0.001587759,0.00179302],"category_scores_gemma":[0.004927254,0.0003163519,0.001119026,0.0004273592,0.000688718,0.001261845,0.0004648899,0.0004828189,0.0004174835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124755,"about_ca_system_score_gemma":0.0008238704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286041,"about_ca_topic_score_gemma":0.008365449,"domain_scores_codex":[0.999747,0.00008667357,0.00001936893,0.00004761065,0.00005510358,0.00004419551],"domain_scores_gemma":[0.9978781,0.001441301,0.0001399129,0.0001916948,0.0002481228,0.0001009659],"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":[0.0006673954,0.0002370096,0.004962886,0.0004134644,0.0002382228,0.0002504137,0.0004486213,0.9587587,0.00329364,0.01259692,0.001514229,0.01661843],"study_design_scores_gemma":[0.00005757539,0.0001145111,0.002667215,0.00001389156,0.00004929407,0.00004797561,0.00006110654,0.9939035,0.0005674105,0.002020646,0.0004768425,0.00002004381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8149612,0.001236874,0.1702796,0.0008006786,0.0001521307,0.00013798,0.0003705852,0.0005534985,0.01150746],"genre_scores_gemma":[0.9888583,0.0003573483,0.007839884,0.00006441867,0.00001953315,0.00005213501,0.0002037615,0.00006652226,0.002538068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286041,"threshold_uncertainty_score":0.02557111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04803345760208284,"score_gpt":0.2870337747016148,"score_spread":0.239000317099532,"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."}}