{"id":"W2064673619","doi":"10.1080/09603121003663461","title":"Obtaining compliance with occupational health and safety regulations: a multilevel study using self-determination theory","year":2010,"lang":"en","type":"article","venue":"International Journal of Environmental Health Research","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Poisson regression; Autonomy; Occupational safety and health; Multilevel model; Compliance (psychology); Environmental health; Negative binomial distribution; Psychology; Medicine; Operations management; Business; Engineering; Social psychology; Poisson distribution; Political science; Computer science","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":[0.008177635,0.0004197455,0.0008421692,0.001210814,0.003016225,0.001788822,0.00158822,0.00103496,0.00319333],"category_scores_gemma":[0.01838408,0.0007899728,0.001900196,0.001298719,0.001358885,0.00164605,0.002212362,0.00264004,0.0003525826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002264071,"about_ca_system_score_gemma":0.002837125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08635692,"about_ca_topic_score_gemma":0.07390897,"domain_scores_codex":[0.9929865,0.004152815,0.0002559596,0.0009987631,0.0007377922,0.0008682305],"domain_scores_gemma":[0.9837286,0.007872695,0.003895579,0.0018577,0.00117775,0.001467699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001536756,0.0008758272,0.9891301,0.00003162091,0.0004629967,0.00007712393,0.005025406,0.0002012043,0.0001302075,0.0005268388,0.000263298,0.003121777],"study_design_scores_gemma":[0.0000846546,0.001094341,0.9794882,0.00008306142,0.0003699614,0.0001755686,0.008742525,0.007759725,0.0001995362,0.001023293,0.000940152,0.00003909406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988814,0.00008536325,0.0004830027,0.0001626391,0.000003956982,0.00003836576,0.0000853032,0.000003172147,0.0002566867],"genre_scores_gemma":[0.9987469,0.00004208369,0.0008109252,0.00005468386,0.000004316596,0.00005475917,0.0001073723,0.000003436443,0.0001755341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08635692,"threshold_uncertainty_score":0.1717085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2823020321677044,"score_gpt":0.5730925797717282,"score_spread":0.2907905476040238,"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."}}