{"id":"W2294540963","doi":"10.1080/00140139.2016.1146343","title":"A comparison of trunk biomechanics, musculoskeletal discomfort and productivity during simulated sit-stand office work","year":2016,"lang":"en","type":"article","venue":"Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Defence Research and Development Canada","funders":"","keywords":"Sitting; Physical therapy; Work (physics); Lumbar; Physical medicine and rehabilitation; Back injury; Trunk; Musculoskeletal injury; Biomechanics; Medicine; Productivity; Musculoskeletal disorder; Human factors and ergonomics; Poison control; Engineering; Surgery; Medical emergency","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":[0.0002668427,0.0001574701,0.0004050708,0.0001173348,0.00006168367,0.000007861877,0.00005397825,0.00009972277,0.00002949003],"category_scores_gemma":[0.0001850718,0.0001068374,0.0001153634,0.0001774324,0.0001638242,0.0001169966,0.00005552343,0.0000995136,0.000005672475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009415429,"about_ca_system_score_gemma":0.00005048804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000128929,"about_ca_topic_score_gemma":0.000008533088,"domain_scores_codex":[0.9989203,0.00004965839,0.0003792959,0.0003260952,0.0001223076,0.0002023608],"domain_scores_gemma":[0.9992225,0.0001415842,0.0001519668,0.000324823,0.00004343406,0.0001156924],"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":[0.005109481,0.00112226,0.1662501,0.002913886,0.0003115474,0.00000260648,0.001368009,0.000145987,0.7729669,0.0008522076,0.0001472282,0.04880977],"study_design_scores_gemma":[0.004171237,0.0008763252,0.9537464,0.0007693311,0.0001375725,0.000004944279,0.0003349069,0.001393247,0.03672225,0.0001463833,0.00128224,0.0004151765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979965,0.0002342312,0.0006247508,0.0003072748,0.000184872,0.000483519,0.00001003957,0.00005020609,0.0001085987],"genre_scores_gemma":[0.9987313,0.00003577365,0.0006335602,0.000005683218,0.0001152844,0.000004213658,0.00001020267,0.00002391264,0.000440111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7874963,"threshold_uncertainty_score":0.4356702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370877956965032,"score_gpt":0.29791789889835,"score_spread":0.2842091193286997,"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."}}