{"id":"W2596218857","doi":"10.1016/j.ergon.2017.03.004","title":"Characterization of cashier shoulder and low back muscle demands","year":2017,"lang":"en","type":"article","venue":"International Journal of Industrial Ergonomics","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; University of Waterloo","funders":"","keywords":"Characterization (materials science); Physical medicine and rehabilitation; Forensic engineering; Engineering; Materials science; Medicine; Nanotechnology","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":[0.0003260525,0.0001129952,0.0002385748,0.0001554053,0.00006156164,0.0001093585,0.0005287032,0.0001824619,0.0003705951],"category_scores_gemma":[0.0001416271,0.0001083023,0.0001314759,0.00001897909,0.0001324766,0.0003380016,0.00009851453,0.0002380465,0.00001181236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005271454,"about_ca_system_score_gemma":0.00009752656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000951676,"about_ca_topic_score_gemma":0.00002656558,"domain_scores_codex":[0.9989894,0.00003471679,0.0005858379,0.0001307055,0.00013742,0.0001219353],"domain_scores_gemma":[0.9982355,0.00004705165,0.001181549,0.0002040303,0.0002484397,0.00008340501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006940761,0.001262215,0.1802203,0.00003863775,0.003296188,0.000109133,0.002949276,0.0003567385,0.07699692,0.03446786,0.005445222,0.6879168],"study_design_scores_gemma":[0.01099497,0.0004942067,0.9507451,0.0002640483,0.0001111841,0.0001204524,0.0004704452,0.000319131,0.002996177,0.0008397422,0.03219923,0.0004453116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900838,0.00002854114,0.0003172996,0.0008422864,0.004728734,0.00008367218,0.00004867919,0.000002314306,0.003864694],"genre_scores_gemma":[0.9981173,0.0001476992,0.0001061712,0.0001067847,0.001084732,0.000001540653,0.00001335497,0.00001697738,0.0004054698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7705248,"threshold_uncertainty_score":0.4416439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03953775817125067,"score_gpt":0.3171445503388676,"score_spread":0.277606792167617,"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."}}