{"id":"W4398138200","doi":"10.3389/fbioe.2024.1358670","title":"A comparative study of biomechanical assessments in laboratory and field settings for manual material handling tasks using extractor tools and exoskeletons","year":2024,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Exoskeleton; Task (project management); Lever; Work (physics); Electromyography; Physical medicine and rehabilitation; Computer science; Field (mathematics); Extractor; Simulation; Human–computer interaction; Engineering; Medicine; Mechanical engineering; Systems engineering; Mathematics","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":[0.001251093,0.0005468456,0.0003307497,0.0005252032,0.0003702168,0.0002668608,0.000294393,0.0003982042,0.001669277],"category_scores_gemma":[0.001876485,0.0002364945,0.0002860872,0.0001974637,0.0005719725,0.0003866467,0.0004812603,0.0002502378,0.0002996403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340052,"about_ca_system_score_gemma":0.0002844344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005022199,"about_ca_topic_score_gemma":0.001228878,"domain_scores_codex":[0.99932,0.0002275809,0.00005497724,0.000162102,0.0001489852,0.00008634745],"domain_scores_gemma":[0.99865,0.0004596938,0.0002265238,0.0001377829,0.0002699048,0.0002561168],"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":[0.01564672,0.02666348,0.1207061,0.001014429,0.000273658,0.0009206349,0.00576879,0.00118473,0.7030473,0.0001398694,0.0003975591,0.1242368],"study_design_scores_gemma":[0.0003249267,0.09469841,0.8689487,0.00004251621,0.000105294,0.0006848211,0.002686987,0.001109809,0.03000921,0.0001023279,0.001230076,0.00005704494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987559,0.00004081597,0.0008698949,0.000004857102,0.000004439991,0.0000624826,0.0000288403,0.000006261911,0.0002264428],"genre_scores_gemma":[0.9960299,0.00008331153,0.002761447,0.00002101724,0.00001294268,0.0001797515,0.0001483273,0.000004059708,0.0007592223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001669277,"threshold_uncertainty_score":0.006616473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778449098729393,"score_gpt":0.3252251982488281,"score_spread":0.3074407072615342,"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."}}