{"id":"W2922464678","doi":"10.4236/ojsst.2019.91003","title":"A Comparative Analysis of the Two Main Documents Used in Small and Medium-Sized Enterprises in France and Qu&amp;#233;bec as a Framework for Improving Occupational Health and Safety","year":2019,"lang":"en","type":"article","venue":"Open Journal of Safety Science and Technology","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Documentation; Legislation; Context (archaeology); Occupational safety and health; Business; Principal (computer security); Order (exchange); Public relations; Risk analysis (engineering); Computer science; Medicine; Political science; Computer security; Finance; Geography","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":[0.01852094,0.0004741455,0.0008062492,0.01974637,0.004604363,0.01093084,0.001087302,0.00177523,0.00314752],"category_scores_gemma":[0.05177554,0.0002520716,0.0005409556,0.0252889,0.003452908,0.003987965,0.002158216,0.0009599215,0.0005100537],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02973097,"about_ca_system_score_gemma":0.02214955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08795562,"about_ca_topic_score_gemma":0.1059014,"domain_scores_codex":[0.9689562,0.01419258,0.003282295,0.00129327,0.01085734,0.00141838],"domain_scores_gemma":[0.8970042,0.05655681,0.01262614,0.001505267,0.03015044,0.002157084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009659089,0.0003646367,0.06916728,0.01820095,0.0001949284,0.004401726,0.4049075,0.000654315,0.003538013,0.04054054,0.02414086,0.4329234],"study_design_scores_gemma":[0.00006700008,0.0005184116,0.2170609,0.01507949,0.0002804199,0.001738205,0.4121745,0.0004801209,0.002224012,0.001246317,0.3489963,0.0001342834],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8015482,0.0806664,0.003580214,0.01056783,0.0006505533,0.001268697,0.003366737,0.0001675054,0.098184],"genre_scores_gemma":[0.9586614,0.01963092,0.006972949,0.001637031,0.0001130177,0.0007160372,0.002130004,0.00007808353,0.0100604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.970269,"threshold_uncertainty_score":0.2157143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06559126206125754,"score_gpt":0.4869188147272349,"score_spread":0.4213275526659774,"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."}}