{"id":"W4220776919","doi":"10.1016/j.apergo.2022.103740","title":"Musculoskeletal disorder risk assessment tool use: A Canadian perspective","year":2022,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; University of Waterloo","funders":"","keywords":"Human factors and ergonomics; Certification; Occupational safety and health; Risk assessment; Musculoskeletal disorder; Poison control; Medical education; Injury prevention; Psychology; Engineering; Medicine; Applied psychology; Environmental health; Management; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003869403,0.000182117,0.0002464798,0.0002039871,0.0004803438,0.00003436433,0.0001064427,0.00006616057,0.0007572466],"category_scores_gemma":[0.00007686946,0.0001827935,0.0001879331,0.0002341125,0.00008041065,0.00007496175,0.00008491369,0.0005263091,0.00004991642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889471,"about_ca_system_score_gemma":0.0005962996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05905119,"about_ca_topic_score_gemma":0.01766661,"domain_scores_codex":[0.9986992,0.00006436931,0.000253263,0.0004134498,0.0002149883,0.0003547544],"domain_scores_gemma":[0.9990845,0.0001279168,0.00009008074,0.0004045375,0.00006340261,0.0002295963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001372417,0.001859723,0.1624161,0.0004368851,0.001277052,0.00003238433,0.008014007,0.01276031,0.005091424,0.6917339,0.01243111,0.1025747],"study_design_scores_gemma":[0.002188307,0.0004820728,0.9149237,0.000008370249,0.0001316029,0.000007754325,0.01072242,0.002891551,0.000008984261,0.002881522,0.06530084,0.0004529296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813098,0.00004525344,0.0004709341,0.001076016,0.0001969229,0.00106366,0.00008503235,0.0000700876,0.01568223],"genre_scores_gemma":[0.9945027,0.00002948492,0.003720708,0.0006457543,0.0001234613,0.0003644701,0.0001606358,0.00004403308,0.0004087259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7525075,"threshold_uncertainty_score":0.9858385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006258368475436499,"score_gpt":0.2619160437113337,"score_spread":0.2556576752358972,"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."}}