{"id":"W2285791215","doi":"10.1007/978-1-4899-7627-7_12","title":"Risk Identification and Prediction of Return to Work in Musculoskeletal Disorders","year":2015,"lang":"en","type":"book-chapter","venue":"Handbooks in health, work, and disability","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Identification (biology); Work (physics); Computer science; Psychology; Medicine; Engineering; Mechanical engineering; Biology","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":[0.002659867,0.0003134354,0.0007720915,0.0002352123,0.00006546044,0.00001352924,0.00006167834,0.0004362553,0.0000352123],"category_scores_gemma":[0.0006693849,0.0002825103,0.000133699,0.0001591046,0.0005965549,0.00007017921,0.00005745284,0.0006145988,0.000003375902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003671428,"about_ca_system_score_gemma":0.0001467036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004926443,"about_ca_topic_score_gemma":0.001857758,"domain_scores_codex":[0.997092,0.0002464024,0.00125456,0.0007338549,0.0003894076,0.0002837697],"domain_scores_gemma":[0.9982709,0.0003846206,0.0003472722,0.0005463643,0.00009727117,0.0003535913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001369845,0.0003241821,0.802187,0.008203515,0.00003382191,6.044655e-7,0.003574468,0.0000234371,0.00001131924,0.00162228,0.0004733813,0.1821761],"study_design_scores_gemma":[0.001595813,0.0007255764,0.9677902,0.003404051,0.00004870688,8.722877e-7,0.000308455,0.00005109485,0.000001433678,0.02189218,0.00392797,0.0002536003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658229,0.00912497,0.000275812,0.00355394,0.0005616151,0.005665335,0.0001225461,0.00007556364,0.01479732],"genre_scores_gemma":[0.9904193,0.002121699,0.0003256303,0.00005247277,0.0001218143,0.00008864896,0.0001291704,0.00004083181,0.006700467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1819225,"threshold_uncertainty_score":0.9999627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283744406253339,"score_gpt":0.300459258834621,"score_spread":0.2776218147720876,"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."}}