{"id":"W1218521451","doi":"10.1016/j.apergo.2015.08.005","title":"Effects of overhead work configuration on muscle activity during a simulated drilling task","year":2015,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overhead (engineering); Work (physics); Physical medicine and rehabilitation; Task (project management); Exertion; Shoulders; Simulation; Physical therapy; Computer science; Engineering; Medicine; Surgery; Mechanical 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":[0.0002362757,0.0006297324,0.0003752516,0.0002162189,0.0002100981,0.000323954,0.0002500663,0.0004661315,0.002246696],"category_scores_gemma":[0.002656385,0.0002990655,0.0002286182,0.0001446878,0.0004182061,0.0001939988,0.0004961771,0.0004351921,0.0002188499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086248,"about_ca_system_score_gemma":0.0003024822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009735103,"about_ca_topic_score_gemma":0.001031912,"domain_scores_codex":[0.9997656,0.00005416959,0.00002766944,0.00003478196,0.00003274897,0.00008511083],"domain_scores_gemma":[0.9985826,0.0009498568,0.000102017,0.0000761428,0.00007904984,0.0002103305],"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":[0.2078384,0.004072126,0.01030595,0.0004348898,0.0001503032,0.0005116324,0.0009488889,0.004917696,0.7522193,0.00008539478,0.0002081516,0.01830741],"study_design_scores_gemma":[0.005231117,0.1671059,0.5521124,0.0002251124,0.0007500504,0.0009902869,0.00192384,0.0239624,0.2451525,0.0005315961,0.00183265,0.0001821061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993456,0.0000230749,0.0003395094,0.00001150312,0.00001505555,0.00001930665,0.00007579966,0.000008498479,0.0001616248],"genre_scores_gemma":[0.9991516,0.0000367677,0.0003993275,0.0000146807,0.000008577135,0.00005399216,0.00008082906,0.000006504265,0.0002477432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002246696,"threshold_uncertainty_score":0.007515967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081812261859186,"score_gpt":0.2449401852286144,"score_spread":0.2341220626100225,"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."}}