{"id":"W4363674325","doi":"10.47191/ijmra/v6-i4-18","title":"Micro-Economic Analysis of the Drivers of Under-Five Mortality in Kano Metropolis, Nigeria","year":2023,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Socioeconomics; Child mortality; Poisson regression; Developing country; Quarter (Canadian coin); Socioeconomic status; Subsidy; Public health; Environmental health; Geography; Business; Economic growth; Medicine; Demography; Population; Economics; Sociology; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380668,0.00008907764,0.0006017528,0.002635158,0.00005791401,0.00001570479,0.000381556,0.0000530599,0.00009800671],"category_scores_gemma":[0.00008840617,0.00005860551,0.0005298518,0.002351119,0.0002797637,0.00009059699,0.0002779728,0.0002794774,0.000002884852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308565,"about_ca_system_score_gemma":0.0002014749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099847,"about_ca_topic_score_gemma":0.001215762,"domain_scores_codex":[0.9978579,0.0001749529,0.0007320346,0.0001647817,0.000861782,0.0002085916],"domain_scores_gemma":[0.9984549,0.0002052917,0.0003817701,0.0001891779,0.0006320708,0.0001367841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003571989,0.0001808765,0.9791461,0.00002503378,0.009459007,0.00005724417,0.0005323951,0.005543867,0.004292954,0.0002107438,0.00007897858,0.0001155735],"study_design_scores_gemma":[0.0007510333,0.0001550463,0.9873872,0.0000777442,0.001039702,0.0000091527,0.0025784,0.005937039,0.001181489,0.0008264735,0.00001406315,0.00004264559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963281,0.0001604023,0.00002583195,0.003010432,0.00009403929,0.00007569255,0.0001525227,0.000002356349,0.0001506228],"genre_scores_gemma":[0.9985915,0.0009841896,0.00008605804,0.00002309156,0.00006290372,0.000001041029,0.0000266627,0.000004508028,0.0002200386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008419305,"threshold_uncertainty_score":0.3174354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05687930340374216,"score_gpt":0.4344165965494838,"score_spread":0.3775372931457416,"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."}}