{"id":"W2768067777","doi":"10.1136/bmjopen-2017-016366","title":"Cohort profile: workers’ compensation in a changing Australian labour market: the return to work (RTW) study","year":2017,"lang":"en","type":"article","venue":"BMJ Open","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Institute for Work & Health","funders":"WorkSafe Victoria; Monash University; Beyond Blue","keywords":"Medicine; Workers' compensation; Cohort; Cohort study; Population; Occupational safety and health; Health care; Demography; Physical therapy; Gerontology; Compensation (psychology); Environmental health; Psychology; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001848247,0.0004479036,0.0004475556,0.001018303,0.002036429,0.001092616,0.0009545189,0.0009227198,0.001594189],"category_scores_gemma":[0.002402126,0.0006104585,0.0009908907,0.001320572,0.0003500336,0.0009096937,0.001679185,0.001190504,0.001279272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007148812,"about_ca_system_score_gemma":0.001728916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05980645,"about_ca_topic_score_gemma":0.07056202,"domain_scores_codex":[0.9988874,0.0002872857,0.0001001944,0.0002077746,0.0002878951,0.0002295753],"domain_scores_gemma":[0.9985304,0.00006395958,0.000341417,0.0002335509,0.0003122337,0.0005184421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006687717,0.000552296,0.989949,0.0000669158,0.0001128637,0.0003523245,0.002674866,0.00002878691,0.0007460979,0.00007094209,0.001421818,0.003355285],"study_design_scores_gemma":[0.00006002482,0.0006154857,0.9956934,0.00003945567,0.00006869697,0.0002930141,0.001549316,0.0000807077,0.00007776744,0.00003587498,0.001473242,0.00001289508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952101,0.0002413447,0.0002870029,0.0001300221,0.0000256383,0.0004949078,0.002742995,0.000007135438,0.0008608895],"genre_scores_gemma":[0.9919019,0.0003241174,0.0005435378,0.0004177534,0.00003826807,0.00082887,0.003249736,0.00001208288,0.002683652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05980645,"threshold_uncertainty_score":0.1189167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06221564160155604,"score_gpt":0.407962925216899,"score_spread":0.345747283615343,"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."}}