{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004523016,0.0008909421,0.000969056,0.001366039,0.002016514,0.0020693,0.002140418,0.0008609277,0.005187877],"category_scores_gemma":[0.01530493,0.0005407187,0.0006455295,0.002610703,0.001645774,0.000639051,0.001401302,0.0008787952,0.0002844916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08468647,"about_ca_system_score_gemma":0.09637816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882016,"about_ca_topic_score_gemma":0.9886333,"domain_scores_codex":[0.9945873,0.001198114,0.0001418192,0.0007132775,0.00165589,0.001703673],"domain_scores_gemma":[0.9935256,0.002363323,0.000938841,0.0003657361,0.002096255,0.0007102533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002269893,0.001993107,0.1626986,0.000869872,0.0005375,0.0003756068,0.00126383,0.5146114,0.002802012,0.03668008,0.03454581,0.2413523],"study_design_scores_gemma":[0.001441389,0.002422997,0.3785084,0.0002659356,0.000687515,0.0001625046,0.003241332,0.5476724,0.003785213,0.01561615,0.04596246,0.0002337926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157615,0.002648566,0.01801816,0.006237718,0.0001237626,0.001863287,0.00527901,0.0006745299,0.04939335],"genre_scores_gemma":[0.9813179,0.0005661264,0.008596472,0.0003015882,0.00001529648,0.0001118444,0.00107945,0.00001945786,0.007991807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08468647,"threshold_uncertainty_score":0.6144463,"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."}}