{"id":"W3166095293","doi":"10.2139/ssrn.3571518","title":"Trends and Determinants of Newborn Mortality in the Kyrgyz Republic: A Countdown Country Case Study","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Global Health Research; University of Toronto","funders":"","keywords":"Countdown; Geography; Political science; Engineering","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":[0.0003057375,0.0001466722,0.0002132581,0.0008914482,0.0005986734,0.000547585,0.000329968,0.0002768436,0.001061911],"category_scores_gemma":[0.0005820118,0.0001746101,0.00034117,0.001451127,0.0002305674,0.0004383052,0.0007647543,0.0004016336,0.0001458647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039093,"about_ca_system_score_gemma":0.001074765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.123262,"about_ca_topic_score_gemma":0.1470055,"domain_scores_codex":[0.9997717,0.00005692849,0.000020272,0.0000265491,0.00001781974,0.000106783],"domain_scores_gemma":[0.9996957,0.00004677959,0.0001123004,0.00002551506,0.00006081563,0.00005905594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005302736,0.00005244102,0.9966726,0.00001146092,0.00002872065,0.000404701,0.0005881677,0.0001249473,0.0001698551,0.0001351397,0.0002714533,0.001487373],"study_design_scores_gemma":[0.000002361409,0.00004844943,0.994409,0.000009486412,0.0000294704,0.000241789,0.00445716,0.0002591016,0.00008212707,0.00001918286,0.000436948,0.000004819337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990356,0.00006099216,0.00002462746,0.00004653262,0.000001206494,0.000004366342,0.0005251446,0.000001255938,0.0003003955],"genre_scores_gemma":[0.9989967,0.0001457091,0.00005480798,0.00001262959,0.000001947977,0.000008628835,0.0004656548,0.000001211108,0.0003128464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.123262,"threshold_uncertainty_score":0.245089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0680524001497326,"score_gpt":0.4495431823901254,"score_spread":0.3814907822403928,"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."}}