{"id":"W2919566508","doi":"10.3126/ijosh.v7i2.22890","title":"Optimizing Health and Safety Inspections in Canada","year":2017,"lang":"en","type":"article","venue":"International Journal of Occupational Safety and Health","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Counterfactual thinking; Government (linguistics); Jurisdiction; Business; Occupational safety and health; Actuarial science; Compensation (psychology); Government sector; Operations management; Operations research; Economics; Engineering; Medicine; Private sector; Psychology; Political science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002880233,0.0001604766,0.0004911424,0.000316486,0.002250436,0.00004188424,0.0004224041,0.00008135091,0.0001576815],"category_scores_gemma":[0.0006908162,0.0001477461,0.00004887335,0.00008940888,0.0001105607,0.0005189769,0.0001983364,0.0009930892,0.000004977078],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003235244,"about_ca_system_score_gemma":0.02450035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6024332,"about_ca_topic_score_gemma":0.8033965,"domain_scores_codex":[0.9961964,0.0003597559,0.001729853,0.000236998,0.0009564479,0.0005205836],"domain_scores_gemma":[0.9958847,0.0007613607,0.001675656,0.0001939189,0.0007638216,0.0007205362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004498805,0.00006883158,0.9127051,0.0001712975,0.00006153006,0.00002735008,0.0016295,0.0002137535,9.305512e-7,0.01856649,0.002404812,0.05965156],"study_design_scores_gemma":[0.002421867,0.0001670985,0.9565255,0.0005010363,0.000001860284,0.00005203566,0.001096715,0.0005833257,2.506337e-7,0.0004838774,0.0380643,0.000102141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3281927,0.01070193,0.008996516,0.6238081,0.01156785,0.003178269,0.001536228,0.00005085494,0.01196752],"genre_scores_gemma":[0.975299,0.01348479,0.002348485,0.007831851,0.0007657144,0.00001379449,0.0000694595,0.0000173663,0.000169534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6471063,"threshold_uncertainty_score":0.9990485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404918048861507,"score_gpt":0.510257646502904,"score_spread":0.3697658416167533,"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."}}