{"id":"W2098736940","doi":"10.1016/j.jelekin.2013.03.012","title":"Knee angle-specific MVIC for triceps surae EMG signal normalization in weight and non weight-bearing conditions","year":2013,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Montréal; University of Otago","keywords":"Weight-bearing; Normalization (sociology); Medicine; Physical medicine and rehabilitation; Orthodontics; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001701409,0.0001853107,0.00036728,0.0009941122,0.0001221599,0.00003523874,0.00007231412,0.0001235026,0.00003746223],"category_scores_gemma":[0.00001308015,0.0001602127,0.0001162194,0.0006347997,0.0000694654,0.0003462221,0.00001092673,0.0002359346,2.51167e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001924753,"about_ca_system_score_gemma":0.00001237974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008595894,"about_ca_topic_score_gemma":0.0000160098,"domain_scores_codex":[0.9989116,0.00004179242,0.0004636501,0.0001495437,0.00008574178,0.0003477064],"domain_scores_gemma":[0.9993599,0.0001809416,0.000143839,0.00006997674,0.0001608205,0.00008452],"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":[0.0004786207,0.000308679,0.2387581,0.0004613352,0.001078668,0.0000228577,0.001245715,0.000527373,0.6146566,0.004566153,0.02341184,0.1144841],"study_design_scores_gemma":[0.002016798,0.001020243,0.9826526,0.00005157301,0.00005017986,0.00007253722,0.00009766979,0.001402402,0.0034395,0.005758301,0.003158724,0.0002794955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886009,0.004248302,0.006221007,0.0001844334,0.0001939373,0.0002843313,0.000003580376,0.00002935553,0.000234222],"genre_scores_gemma":[0.9947722,0.004276136,0.0006067916,0.00008335938,0.0001736526,0.00005327892,0.000009783083,0.0000190022,0.000005774727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7438945,"threshold_uncertainty_score":0.6533284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007399301493838916,"score_gpt":0.2017264220313232,"score_spread":0.1943271205374843,"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."}}