{"id":"W1650679962","doi":"10.3233/wor-131682","title":"Investigation of pacing as a control measure for an industrial lifting task above waist height","year":2014,"lang":"en","type":"article","venue":"Work","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University; Toronto Metropolitan University","funders":"","keywords":"Pace; Lift (data mining); Waist; Simulation; Engineering; Physical medicine and rehabilitation; Structural engineering; Aeronautics; Operations management; Computer science; Medicine; Body mass index; Geology","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":[0.0009510466,0.00008382099,0.0002214659,0.00005367028,0.00006145002,0.000009159087,0.00003368591,0.0001330755,0.00001195791],"category_scores_gemma":[0.002020073,0.00006581589,0.00008588359,0.0001582536,0.00006664933,0.00005625758,0.000004218221,0.0001221419,0.000005683748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002727789,"about_ca_system_score_gemma":0.00005823805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000347437,"about_ca_topic_score_gemma":0.000008294334,"domain_scores_codex":[0.9991512,0.000135444,0.000251582,0.0001537618,0.0001820596,0.0001259685],"domain_scores_gemma":[0.9991146,0.0003497313,0.0001265591,0.0001657279,0.0001336057,0.0001098306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002527682,0.0001907584,0.4782517,0.001414815,0.0002566388,6.701717e-7,0.007138338,0.000144227,0.3883277,0.008527331,0.005219479,0.1080006],"study_design_scores_gemma":[0.06803039,0.0169409,0.7889901,0.01180597,0.001365989,0.00001164529,0.003421769,0.01248645,0.04205489,0.02293945,0.03018157,0.001770837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920173,0.0000367793,0.003949478,0.001426907,0.000235593,0.0007669044,0.000002668973,0.00003862276,0.001525764],"genre_scores_gemma":[0.9976661,2.957196e-7,0.001042468,0.0003250535,0.000787939,0.00003193336,0.00003350366,0.0000146645,0.00009804686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3462729,"threshold_uncertainty_score":0.2683894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894656153376654,"score_gpt":0.2683087527847644,"score_spread":0.2393621912509979,"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."}}