{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008681984,0.001023909,0.001205506,0.009620222,0.00831618,0.009178265,0.002584498,0.002389133,0.01114964],"category_scores_gemma":[0.0240637,0.0007237073,0.001470486,0.01668162,0.003052745,0.002174132,0.002927881,0.005191412,0.0006586431],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09141627,"about_ca_system_score_gemma":0.232085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948428,"about_ca_topic_score_gemma":0.9965378,"domain_scores_codex":[0.9856434,0.001483451,0.001175004,0.00119368,0.008315921,0.002188599],"domain_scores_gemma":[0.9493277,0.00554556,0.00295885,0.0003682045,0.03486016,0.006939642],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009916421,0.0008978387,0.4236423,0.00540855,0.0009382901,0.002471805,0.02280023,0.0015551,0.001598275,0.03694494,0.1577087,0.3450423],"study_design_scores_gemma":[0.0002552626,0.0006200008,0.6018319,0.01923647,0.001258972,0.002481777,0.05064459,0.001676798,0.0007250887,0.003886237,0.3164589,0.0009240399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2117482,0.1955428,0.003562978,0.3440237,0.003532691,0.0004805775,0.01875682,0.000159651,0.2221926],"genre_scores_gemma":[0.7250639,0.2114347,0.006611733,0.03864145,0.0008448724,0.000180798,0.003869691,0.0001500121,0.01320273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.991318,"threshold_uncertainty_score":0.6632745,"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."}}