{"id":"W3035621893","doi":"10.5539/mas.v14n7p37","title":"Parametric Survival Modeling of Tuberculosis Data- A Case Study of Federal Medical Centre, Bida, Nigeria","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tertiary Education Trust Fund","keywords":"Akaike information criterion; Weibull distribution; Covariate; Proportional hazards model; Survival analysis; Statistics; Tuberculosis; Demography; Logistic regression; Medicine; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004615674,0.0004203135,0.0005073309,0.001051649,0.0005855259,0.0009515483,0.0007350035,0.0008644513,0.001114241],"category_scores_gemma":[0.01150969,0.0002515324,0.0008621188,0.001334852,0.0005748226,0.0008259336,0.0006710143,0.0009026427,0.0001816511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081091,"about_ca_system_score_gemma":0.0007753869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009845797,"about_ca_topic_score_gemma":0.0098208,"domain_scores_codex":[0.9985945,0.0007914012,0.0001090374,0.000186957,0.0001348251,0.0001832147],"domain_scores_gemma":[0.9893685,0.008161951,0.001050269,0.0006254706,0.0006086588,0.0001850908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007379936,0.0005192718,0.741981,0.0004371354,0.000220864,0.008068233,0.003267285,0.1798898,0.001226685,0.009892903,0.003823537,0.04993534],"study_design_scores_gemma":[0.00004489485,0.0007927247,0.3444922,0.0003710426,0.0001584814,0.006503131,0.006796446,0.6163537,0.0017751,0.0145199,0.0080593,0.0001331136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868218,0.0007652175,0.009548076,0.0004822798,0.00002294662,0.00006198915,0.001211895,0.00003701287,0.00104876],"genre_scores_gemma":[0.994645,0.0004370215,0.003279384,0.00002502212,0.00001396167,0.00004166194,0.0009260028,0.000008537505,0.0006234781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009845797,"threshold_uncertainty_score":0.02441037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290249158803867,"score_gpt":0.3764110745296458,"score_spread":0.2473861586492591,"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."}}