{"id":"W2023359305","doi":"10.1016/j.jelekin.2007.11.004","title":"Methodological variance associated with normalization of occupational upper trapezius EMG using sub-maximal reference contractions","year":2007,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Normalization (sociology); Statistics; Analysis of variance; Variance (accounting); Electromyography; Mathematics; Physical medicine and rehabilitation; Medicine; Accounting","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":[0.02962109,0.0004835999,0.0006223589,0.001188196,0.000712594,0.00115999,0.0008803319,0.0007433907,0.0008269256],"category_scores_gemma":[0.1525832,0.0003783076,0.0006782822,0.001404195,0.0008095962,0.0004529093,0.00119024,0.0005649676,0.000245835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007354898,"about_ca_system_score_gemma":0.0007713931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002694064,"about_ca_topic_score_gemma":0.005226888,"domain_scores_codex":[0.9624233,0.01777061,0.006474119,0.004337538,0.008356811,0.0006377553],"domain_scores_gemma":[0.890691,0.07165278,0.01111025,0.01572832,0.01013096,0.0006867183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01300838,0.0009017136,0.5611896,0.00137062,0.003990266,0.0007308392,0.008174928,0.007072841,0.1561475,0.007058317,0.001659058,0.2386961],"study_design_scores_gemma":[0.0001551405,0.001332538,0.9709001,0.0001156316,0.001033272,0.0009902763,0.000376998,0.006024751,0.01533389,0.001625272,0.00204833,0.00006379662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760153,0.003623771,0.1152835,0.0002765226,0.0003224375,0.0004855585,0.000291408,0.0002469587,0.003454479],"genre_scores_gemma":[0.982678,0.0002526522,0.01573496,0.00007569093,0.00005253423,0.0002421415,0.0002559732,0.0001691095,0.0005390254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02962109,"threshold_uncertainty_score":0.1566531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07155316649782831,"score_gpt":0.3071267134934342,"score_spread":0.2355735469956059,"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."}}