{"id":"W7083311596","doi":"10.5281/zenodo.17193852","title":"Prevalence, prevention practices and predictors of cardiovascular disease among public health worker in north-central Nigeria","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Public health; Disease; Logistic regression; Ethnic group; Multivariate analysis; Epidemiology; Health education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003796651,0.000180181,0.0001549572,0.0005201768,0.0005193949,0.0004273372,0.000164693,0.0003169937,0.001029882],"category_scores_gemma":[0.0008914422,0.0002290005,0.00008134274,0.0004909498,0.0002112487,0.0002503956,0.0002657517,0.0003200574,0.0001457974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288355,"about_ca_system_score_gemma":0.0005945885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156704,"about_ca_topic_score_gemma":0.02182003,"domain_scores_codex":[0.9998029,0.0000477496,0.0000264446,0.00002862757,0.00003784458,0.00005644733],"domain_scores_gemma":[0.9994937,0.0001039748,0.0002223483,0.00002180859,0.00005176489,0.0001064725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001573192,0.00008505779,0.9971492,0.00001807594,0.000002928925,0.0001439189,0.0006422804,0.000007340433,0.0001972084,0.00001660234,0.00006152227,0.001660124],"study_design_scores_gemma":[0.000003422119,0.00008230846,0.9946721,0.0000522298,0.000006088973,0.0003399686,0.004437275,0.00005330009,0.00005583,0.000024403,0.0002704727,0.000002582624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993336,0.0001677403,0.00001892088,0.00005445835,0.000003935563,0.00000652664,0.00004996188,7.102748e-7,0.0003641743],"genre_scores_gemma":[0.9994747,0.0002352867,0.00004626601,0.00002356418,0.000003229745,0.000007902599,0.00004109897,2.720577e-7,0.0001677211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156704,"threshold_uncertainty_score":0.02299947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03560662884482208,"score_gpt":0.2672472801710823,"score_spread":0.2316406513262602,"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."}}