{"id":"W4223627442","doi":"10.1016/j.apergo.2022.103766","title":"Multi-task exposure assessment to infer musculoskeletal disorder risk: A scoping review of injury causation theories and tools available to assess exposures","year":2022,"lang":"en","type":"review","venue":"Applied Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Task (project management); Causation; Exposure assessment; Systematic review; Musculoskeletal disorder; Risk assessment; Computer science; Psychology; Human factors and ergonomics; Applied psychology; Data science; Management science; Poison control; MEDLINE; Engineering; Medicine; Systems engineering; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002045623,0.0006159421,0.002523873,0.0003677468,0.0001889833,0.00006913625,0.0002303514,0.0002656233,0.0005010014],"category_scores_gemma":[0.0008218492,0.0005165574,0.0004867959,0.0005609781,0.00009673071,0.0001432007,0.0003789355,0.0006058038,0.00005072784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661964,"about_ca_system_score_gemma":0.0007552262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005086427,"about_ca_topic_score_gemma":0.00003781228,"domain_scores_codex":[0.9963651,0.0004150439,0.001571949,0.000868022,0.0004041026,0.000375771],"domain_scores_gemma":[0.9970457,0.0009318426,0.0007370057,0.0009018646,0.0001119088,0.0002716636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000477433,0.0001552521,0.0001773816,0.2994282,0.0002059341,4.912519e-7,0.0001549592,0.000009995569,0.00003708466,0.0005751036,0.0002766899,0.6989312],"study_design_scores_gemma":[0.001020945,0.00135598,0.002843315,0.2318364,0.002127179,0.000005373233,0.0004313476,0.00001166969,0.000006704109,0.0000407179,0.7591181,0.00120226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003914971,0.982554,0.001595777,0.00005557207,0.0002830816,0.01056167,0.0001690005,0.00007014308,0.0007957546],"genre_scores_gemma":[0.0004380154,0.9843683,0.01067747,0.0003333899,0.0001336047,0.003243897,0.0005648255,0.0001120042,0.0001285313],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7588414,"threshold_uncertainty_score":0.9997286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234618244430977,"score_gpt":0.3721258143437537,"score_spread":0.329779631899444,"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."}}