{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00302571,0.0001889026,0.0002484112,0.001100659,0.01610448,0.003901792,0.001698227,0.001204642,0.002456361],"category_scores_gemma":[0.007014445,0.0002920125,0.0004037001,0.001649932,0.005107026,0.001020751,0.002931386,0.00217518,0.0001213029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1155312,"about_ca_system_score_gemma":0.269432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970663,"about_ca_topic_score_gemma":0.9989755,"domain_scores_codex":[0.9948174,0.0004495363,0.0001128581,0.000317581,0.001819334,0.002483206],"domain_scores_gemma":[0.9945843,0.0009985935,0.0004773539,0.0001218718,0.002324349,0.001493686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002655776,0.0003438421,0.5056385,0.0007552144,0.000136544,0.002213143,0.1226056,0.002222645,0.005700473,0.1214376,0.0352981,0.2033828],"study_design_scores_gemma":[0.00006541633,0.0001835168,0.6730962,0.0009536341,0.0001118114,0.0002864279,0.1882067,0.001689345,0.001612082,0.004983261,0.1285988,0.0002127914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018178,0.003398651,0.001120794,0.03365684,0.0001923252,0.0001473658,0.0003638171,0.00002311979,0.05927922],"genre_scores_gemma":[0.9870712,0.001074973,0.000618132,0.003126446,0.00001332659,0.00002593333,0.00008921798,0.000006311579,0.007974503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1155312,"threshold_uncertainty_score":0.8382415,"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."}}