{"id":"W2999678304","doi":"10.1016/j.apergo.2020.103044","title":"Does sEMG normalization change results on sex differences in the activation of the shoulder girdle muscles during a simulated work task?","year":2020,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Shoulder girdle; Electromyography; Normalization (sociology); Physical medicine and rehabilitation; Medicine; Asymptomatic; Trapezius muscle; Anatomy; Physical therapy; Orthodontics; Surgery","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":[0.00006577603,0.0001291733,0.0001376776,0.00005685181,0.00008743827,0.00002199256,0.000174208,0.00005911304,0.000002645523],"category_scores_gemma":[0.00001884072,0.0000709531,0.00003924501,0.0005051736,0.00002731023,0.00006969026,0.0000277725,0.0001519485,5.570893e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002931686,"about_ca_system_score_gemma":0.000003825672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002071295,"about_ca_topic_score_gemma":0.00002745656,"domain_scores_codex":[0.9993504,0.00002262001,0.0002267601,0.0001448908,0.0001060736,0.0001492119],"domain_scores_gemma":[0.9996291,0.0001043341,0.00007303195,0.000164161,0.00001174655,0.00001764153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002783481,0.000412429,0.08712406,0.0006351643,0.0007801953,0.000001547864,0.1478726,0.6056886,0.07460795,0.006097368,0.001760378,0.07223626],"study_design_scores_gemma":[0.0007475984,0.00002359064,0.9593303,0.00004517639,0.00001563202,6.550501e-8,0.00130179,0.008859321,0.02874535,0.00007946169,0.0006532578,0.000198444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978712,0.00001129831,0.0001384447,0.000781151,0.00006336458,0.0003744544,0.000007164459,0.00007559674,0.0006773657],"genre_scores_gemma":[0.9993912,0.00008058946,0.00001555743,0.000336379,0.0001001185,0.00004479552,0.00001133401,0.0000158629,0.000004183401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8722063,"threshold_uncertainty_score":0.2893384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441895927555863,"score_gpt":0.2019705253206029,"score_spread":0.1775515660450442,"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."}}