{"id":"W2955098802","doi":"10.29173/mocs130","title":"Appraisal of the Challenges to Ensuring Occupational Health and Safety Compliance within the Nigerian Construction Industry","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Occupational safety and health; Construction industry; Business; Compliance (psychology); Environmental health; Hazardous waste; Operations management; Effective safety training; Engineering; Risk analysis (engineering); Medicine; Public health; Occupational health nursing; Nursing; Health policy; Construction engineering; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001468557,0.0002142192,0.0003778847,0.0001457673,0.00156052,0.00002893415,0.0002047549,0.0003069665,0.0000670026],"category_scores_gemma":[0.0003451651,0.0001499983,0.00005497429,0.0003981916,0.0004186114,0.0002553826,0.0002376506,0.001134109,0.00002047519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287032,"about_ca_system_score_gemma":0.0006062892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001573777,"about_ca_topic_score_gemma":0.00009175479,"domain_scores_codex":[0.9974827,0.0001976661,0.0007677049,0.0004819168,0.0005574606,0.000512516],"domain_scores_gemma":[0.998034,0.0003673861,0.0005067059,0.0002254432,0.0005346175,0.0003318725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005586402,0.00001782122,0.9180394,0.001040666,0.00002912488,1.269074e-7,0.002544537,0.00002176754,0.0002210223,0.05189938,0.0001893749,0.02543818],"study_design_scores_gemma":[0.001189831,0.0001772389,0.9697757,0.000812574,0.0000106887,0.00003761629,0.01678153,0.0008400218,0.0001052053,0.0008261601,0.009237769,0.0002056055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830134,0.0006500675,0.0001435369,0.01091111,0.001333471,0.001820248,0.00007216456,0.0000449422,0.002011039],"genre_scores_gemma":[0.9963096,0.0002949772,0.001966041,0.0008190285,0.0002902832,0.00008504482,0.00001234007,0.00002163892,0.0002010305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05173639,"threshold_uncertainty_score":0.9997393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06933138393548235,"score_gpt":0.3847699603965079,"score_spread":0.3154385764610256,"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."}}