{"id":"W4413293480","doi":"10.1016/j.jelekin.2025.103049","title":"Estimating maximum acceptable duty cycles (MADC) for overhead exertions","year":2025,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overhead (engineering); Computer science; Duty; Reliability engineering; Operations management; Economics; Engineering; Political science; Law; Operating system","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":[0.001223693,0.0006389661,0.0004026274,0.001939584,0.000352108,0.0007543032,0.0005015941,0.0003950433,0.00128085],"category_scores_gemma":[0.007178394,0.0002715082,0.000429088,0.0005606253,0.0002991151,0.0007192598,0.0006484165,0.0002812409,0.0003283178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000271959,"about_ca_system_score_gemma":0.0005111563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002270084,"about_ca_topic_score_gemma":0.003511845,"domain_scores_codex":[0.9992482,0.0001541267,0.00006394455,0.0001217788,0.0003578318,0.00005404226],"domain_scores_gemma":[0.9973078,0.00155122,0.0004707343,0.0002322016,0.0003638105,0.00007427047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001224287,0.0004590212,0.2349636,0.001151036,0.0001728314,0.0003382684,0.001796782,0.2485805,0.0862246,0.004356599,0.002595913,0.4181367],"study_design_scores_gemma":[0.00007524071,0.001457572,0.340209,0.000385512,0.0001183065,0.0005456632,0.001185191,0.6018633,0.03833531,0.007560453,0.008019319,0.0002450865],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7719352,0.0007738924,0.2189564,0.0001164546,0.00004563177,0.000177993,0.0005069564,0.0005337801,0.006953756],"genre_scores_gemma":[0.9678087,0.000171057,0.03112393,0.00001815256,0.000006440944,0.0001049219,0.0002336333,0.00004873488,0.0004843265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002270084,"threshold_uncertainty_score":0.006471634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00810305676687121,"score_gpt":0.2478010584207485,"score_spread":0.2396980016538773,"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."}}