{"id":"W4364379411","doi":"10.1007/s41693-023-00097-4","title":"Performance and effectiveness of a passive back-support exoskeleton in manual material handling tasks in the construction industry","year":2023,"lang":"en","type":"article","venue":"Construction Robotics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exoskeleton; Material handling; Usability; Work (physics); Task (project management); Squatting position; Musculoskeletal disorder; Manual handling; Engineering; Physical medicine and rehabilitation; Human factors and ergonomics; Simulation; Physical therapy; Computer science; Operations management; Human–computer interaction; Poison control; Manufacturing engineering; Medicine; Mechanical engineering; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005734955,0.0003512676,0.0002928438,0.0003282931,0.000301815,0.0002476682,0.0003096717,0.0003995422,0.002702158],"category_scores_gemma":[0.001122873,0.0001564625,0.0002281222,0.0001122693,0.0003034218,0.0003691602,0.0005017297,0.0001675733,0.0004955064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008752703,"about_ca_system_score_gemma":0.0003214929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008682515,"about_ca_topic_score_gemma":0.0007123825,"domain_scores_codex":[0.9998029,0.00004224711,0.00002559325,0.00003634566,0.00004369531,0.00004923363],"domain_scores_gemma":[0.9996619,0.000148026,0.00003014903,0.0000333918,0.0000654386,0.0000610902],"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":[0.03572121,0.007545637,0.008754249,0.001003166,0.000143348,0.0002908011,0.001287045,0.009859751,0.7728034,0.0002538326,0.0005170541,0.1618206],"study_design_scores_gemma":[0.003226538,0.2216139,0.3278911,0.0002727339,0.0005657019,0.001210549,0.002424231,0.07590225,0.3603658,0.0008146966,0.005567855,0.000144659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984097,0.00004875172,0.001076499,0.00001714972,0.000009024442,0.00002111398,0.00003734671,0.00001489855,0.0003656247],"genre_scores_gemma":[0.9986194,0.00004299397,0.0005265592,0.000009078351,0.000004140437,0.00002447366,0.00005298854,0.000004321935,0.0007160115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002702158,"threshold_uncertainty_score":0.009039581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159754600291641,"score_gpt":0.275310395533432,"score_spread":0.2637128495305156,"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."}}