{"id":"W2968397247","doi":"10.1177/1048291119868805","title":"Regulating Health and Safety and Workers’ Compensation in Canada for the Mobile Workforce: Now You See Them, Now You Don’t","year":2019,"lang":"en","type":"article","venue":"NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Workforce; Invisibility; Occupational safety and health; Business; Work (physics); Compensation (psychology); Workers' compensation; Public relations; Labour economics; Environmental health; Political science; Medicine; Psychology; Engineering; Economics; Law; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000818446,0.0001500219,0.0003251988,0.00009118395,0.001483141,0.000009349366,0.00006801623,0.00005410878,0.00007132211],"category_scores_gemma":[0.00003088759,0.000110514,0.0000361117,0.0001030046,0.00008732972,0.0001470624,0.0001053473,0.0003165829,0.000003415505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511702,"about_ca_system_score_gemma":0.002389909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1582911,"about_ca_topic_score_gemma":0.2226532,"domain_scores_codex":[0.9980981,0.0001899942,0.0007940791,0.0001681706,0.0002561378,0.0004935396],"domain_scores_gemma":[0.9983194,0.0006661413,0.0006158656,0.00009879867,0.00002208136,0.0002776693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003671398,0.00003272716,0.9606889,0.0001163997,0.0000309805,1.930933e-7,0.00415367,0.0003012434,0.000006359298,0.001904463,0.004777022,0.02762084],"study_design_scores_gemma":[0.002001668,0.0002498157,0.9341038,0.0002726337,0.00000890033,0.00001349281,0.01185834,0.000515301,1.918085e-7,0.0004117921,0.05046617,0.00009783544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236708,0.007624851,0.0003988091,0.06596977,0.0002983857,0.001649203,0.0002220108,0.000005926238,0.0001602421],"genre_scores_gemma":[0.9868334,0.007293958,0.0005502042,0.003936507,0.0004024439,0.00001795202,0.00003459399,0.0000148438,0.0009161239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06436208,"threshold_uncertainty_score":0.9998168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0526567153306589,"score_gpt":0.3698352471183661,"score_spread":0.3171785317877072,"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."}}