{"id":"W4402153133","doi":"10.31893/multirev.2024224","title":"A bibliometric analysis of safety performance in the government sector","year":2024,"lang":"en","type":"article","venue":"Multidisciplinary Reviews","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Government (linguistics); Thematic analysis; Scopus; Safety culture; Best practice; Productivity; Collaborative network; Public relations; Business; Knowledge management; Political science; Qualitative research; Marketing; Economic growth; Sociology; Management; Social science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0136078,0.0005636786,0.001663504,0.197328,0.001498719,0.006680009,0.001083028,0.0007929564,0.004167243],"category_scores_gemma":[0.09530076,0.0002788021,0.001381127,0.2857388,0.001190013,0.004127899,0.002692028,0.00048602,0.0009487456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003449667,"about_ca_system_score_gemma":0.008547228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007793165,"about_ca_topic_score_gemma":0.008010201,"domain_scores_codex":[0.9734543,0.005809823,0.006082559,0.00168301,0.01204054,0.0009296461],"domain_scores_gemma":[0.862194,0.08504455,0.0230518,0.004042906,0.02412981,0.001536896],"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":[0.0003161313,0.0002007482,0.4508738,0.04724674,0.002350452,0.0009609007,0.01017494,0.003011035,0.002534071,0.01614027,0.03398338,0.4322076],"study_design_scores_gemma":[0.00005240185,0.0002851112,0.7943512,0.01078676,0.00256334,0.00209468,0.01949563,0.005648571,0.002328877,0.007927131,0.1542851,0.0001811245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.631802,0.1610192,0.00830579,0.006782697,0.0007431361,0.001042592,0.08188508,0.0009008818,0.1075186],"genre_scores_gemma":[0.9066975,0.05495265,0.007889574,0.0002730372,0.0006052735,0.0007679882,0.02630729,0.0001105576,0.002396213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.802672,"threshold_uncertainty_score":0.07196581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1681818136577538,"score_gpt":0.4971630683617861,"score_spread":0.3289812547040323,"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."}}