{"id":"W4313570070","doi":"10.1016/j.medengphy.2022.103946","title":"A noninvasive test for estimating myosin heavy chain of the vastus lateralis in females with mechanomyography","year":2022,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Isometric exercise; Myosin; Vastus lateralis muscle; Internal medicine; Mathematics; Linear regression; Torque; Contraction (grammar); Intensity (physics); Cardiology; Medicine; Anatomy; Physics; Statistics; Biology; Skeletal muscle; Biophysics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001641021,0.0001552759,0.0002264212,0.00009365057,0.00009149963,0.000008235373,0.0001954062,0.00003017887,0.00001072455],"category_scores_gemma":[0.00009612196,0.0001251047,0.00009700287,0.0007962636,0.00003637096,0.00004593699,0.00005793261,0.0002846355,4.864786e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004633179,"about_ca_system_score_gemma":0.00002899969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002157312,"about_ca_topic_score_gemma":0.00001039415,"domain_scores_codex":[0.9990222,0.00001234993,0.0002137151,0.0001343178,0.0003455913,0.0002718568],"domain_scores_gemma":[0.9994581,0.0002732339,0.00004110671,0.0001520931,0.00002549165,0.00004998718],"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":[0.00002058278,0.0002038972,0.005836711,0.0005695415,0.0002022568,0.000009460994,0.002308899,0.9643829,0.004350162,0.002291884,0.0004060249,0.01941772],"study_design_scores_gemma":[0.001172891,0.0002603748,0.009366437,0.0002781628,0.00003584557,0.00001420992,0.0002254261,0.9747342,0.01191905,0.0003606813,0.00122352,0.0004091554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.704456,0.0003007846,0.2923487,0.0009019365,0.0005833381,0.0008241117,0.00005501397,0.0003634298,0.0001666923],"genre_scores_gemma":[0.9945479,0.000006189412,0.004920745,0.00006047285,0.00008403883,0.0003332586,0.000007582517,0.00003515298,0.000004630029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.290092,"threshold_uncertainty_score":0.5101621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00857557849497835,"score_gpt":0.1977858472643341,"score_spread":0.1892102687693558,"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."}}