{"id":"W4321350447","doi":"10.21203/rs.3.rs-2600034/v1","title":"Analysis of sex disparities in under-five mortality rates in Ghana: Insights from vector autoregressive modeling","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Variance decomposition of forecast errors; Autoregressive model; Granger causality; Vector autoregression; Demography; Econometrics; Child mortality; Mortality rate; Statistics; Geography; Economics; Mathematics; Population","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":[0.001493172,0.000234629,0.0003212445,0.0006998832,0.0001212647,0.0006943468,0.0002375644,0.0002336147,0.001846595],"category_scores_gemma":[0.0044051,0.0001269224,0.0004825736,0.0009048174,0.0001985663,0.0004668681,0.0003446479,0.000473881,0.0001386921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003885779,"about_ca_system_score_gemma":0.0006869585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02588897,"about_ca_topic_score_gemma":0.01477954,"domain_scores_codex":[0.9995955,0.0002520382,0.00001792435,0.00005216824,0.00003779843,0.00004468659],"domain_scores_gemma":[0.9978372,0.001519141,0.0004081319,0.00007873887,0.0001172715,0.00003945301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000142925,0.00007969666,0.8328199,0.0001129412,0.000367479,0.0005590644,0.001007893,0.08299635,0.001213623,0.01873463,0.002262653,0.05970284],"study_design_scores_gemma":[0.00001112214,0.00009721146,0.3310625,0.0001187789,0.0001464284,0.0001312344,0.001778683,0.6462731,0.0004716972,0.0157768,0.004105807,0.00002663546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721336,0.001211235,0.02216167,0.001539181,0.00004339746,0.00001934817,0.000683198,0.00006083073,0.002147646],"genre_scores_gemma":[0.996711,0.0004790686,0.002005366,0.00002270393,0.00001346396,0.000006526158,0.000254331,0.000008146946,0.0004994114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02588897,"threshold_uncertainty_score":0.0514766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133764770134184,"score_gpt":0.4460860087880332,"score_spread":0.3123212386538492,"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."}}