{"id":"W3107679060","doi":"10.1177/0018720820965021","title":"Effect of Expertise on Shoulder and Upper Limb Kinematics, Electromyography, and Estimated Muscle Forces During a Lifting Task","year":2020,"lang":"en","type":"article","venue":"Human Factors The Journal of the Human Factors and Ergonomics Society","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Centre for Interdisciplinary Research in Rehabilitation; Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Electromyography; Kinematics; Physical medicine and rehabilitation; Trunk; Upper limb; Task (project management); Shoulder joint; Work (physics); Acromioclavicular joint; Physical therapy; Biomechanics; Medicine; Engineering; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004900404,0.0002593352,0.0005201132,0.00005615677,0.0005125716,0.00004754339,0.0001317635,0.0001089083,0.00001236212],"category_scores_gemma":[0.000154656,0.0001254143,0.0004191849,0.00008775268,0.0003418322,0.0001066842,0.00009009603,0.0004370597,7.502013e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004583126,"about_ca_system_score_gemma":0.00001525038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002762562,"about_ca_topic_score_gemma":0.000003278416,"domain_scores_codex":[0.9987615,0.0001686994,0.0005010095,0.0001617846,0.0002042845,0.0002026828],"domain_scores_gemma":[0.9987565,0.0004052214,0.0004410197,0.0001741697,0.00005584175,0.0001673088],"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":[0.0003898652,0.0001073693,0.4117601,0.001938875,0.0005494937,4.980843e-7,0.04131784,0.00008153835,0.5432218,0.00007331894,0.0002582971,0.0003009784],"study_design_scores_gemma":[0.001570689,0.00241529,0.9736096,0.0004406554,0.0003236982,0.000005602272,0.002626117,0.0004663296,0.01828924,0.00006649601,0.00001614904,0.0001700958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998803,0.0005241773,0.00001217849,0.0002297754,0.0000559564,0.0003404033,0.000004445051,0.00001399671,0.00001609093],"genre_scores_gemma":[0.9994604,0.0002413971,0.00004633118,0.000111531,0.00009309618,0.000001319284,0.000002870818,0.00002801827,0.0000150601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5618495,"threshold_uncertainty_score":0.5114245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793180634971488,"score_gpt":0.2762263522416211,"score_spread":0.2582945458919063,"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."}}