{"id":"W4412159099","doi":"10.1177/10711813251357939","title":"Effects of an Active and a Passive Work Condition on Musculoskeletal Discomfort and Computer Typing Performance for Computer-Based Work","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Work (physics); Typing; Computer science; Human–computer interaction; Physical medicine and rehabilitation; Artificial intelligence; Medicine; Speech recognition; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005828555,0.0006490638,0.0005331821,0.0002492119,0.0004579198,0.0005547643,0.0003620899,0.000451701,0.002835977],"category_scores_gemma":[0.002483462,0.0003062927,0.0004571603,0.00009664609,0.0005151032,0.0002881223,0.0005687745,0.0005481278,0.0002677499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728153,"about_ca_system_score_gemma":0.0003158329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007015066,"about_ca_topic_score_gemma":0.001125703,"domain_scores_codex":[0.9993513,0.0001539287,0.00007578093,0.0001473784,0.0001404467,0.0001312005],"domain_scores_gemma":[0.9976094,0.001057065,0.0003370785,0.0002195702,0.0001707588,0.0006062213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1495081,0.08021884,0.0555216,0.000820139,0.0003449547,0.0003214225,0.002496732,0.0004949315,0.6503275,0.0001163917,0.0002788701,0.05955039],"study_design_scores_gemma":[0.00153003,0.2286186,0.738381,0.00003528265,0.0002672109,0.0001300572,0.0008640614,0.000718419,0.02869737,0.0001013046,0.0005978481,0.00005885898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996535,0.00002816923,0.0001055717,0.000005596911,0.00001368856,0.00003109842,0.00002194557,0.000004039802,0.0001363972],"genre_scores_gemma":[0.9984348,0.00003832938,0.0006167042,0.00001950013,0.00001751879,0.0001548865,0.00006660237,0.000004503421,0.000647164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002835977,"threshold_uncertainty_score":0.009487331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007528528736648299,"score_gpt":0.2593136884039101,"score_spread":0.2517851596672618,"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."}}