{"id":"W2904884234","doi":"10.5539/jgg.v10n4p29","title":"Determinants of the Number of Children Born to Reproductive Women in Ethiopia: Sampling Cluster Based National Spatial Analysis of the 2016 Demographic and Health Survey Data","year":2018,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster sampling; Demography; Socioeconomic status; Cluster (spacecraft); Statistics; Multivariate statistics; Multivariate analysis; Child mortality; Sampling (signal processing); Geography; Medicine; Mathematics; Population","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":[0.001695888,0.0002178429,0.000238268,0.0009569092,0.0003487856,0.0005298783,0.0003974921,0.0001612555,0.0006040765],"category_scores_gemma":[0.002796538,0.0002553424,0.0005456968,0.002160303,0.0002586818,0.0002668722,0.0006598523,0.0002383575,0.0001093806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008399984,"about_ca_system_score_gemma":0.001043075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06784803,"about_ca_topic_score_gemma":0.06429512,"domain_scores_codex":[0.9988958,0.0005376213,0.0001035696,0.0001648406,0.0001727471,0.0001253148],"domain_scores_gemma":[0.9987097,0.0003726465,0.0004745553,0.0001121454,0.0002384776,0.00009251866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003052253,0.00001829825,0.9949239,0.0000298622,0.0001215949,0.00006784894,0.0004087631,0.0009934139,0.000146159,0.0001136001,0.0002926855,0.002853431],"study_design_scores_gemma":[0.00000315201,0.00003227397,0.9938828,0.00003635723,0.00005781547,0.0001261079,0.002477655,0.002502263,0.0001404474,0.00009131859,0.0006404158,0.000009490963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982287,0.00010241,0.0003256331,0.00004468755,0.000003497216,0.00002767158,0.00101047,0.000004165697,0.0002527514],"genre_scores_gemma":[0.9982754,0.000120996,0.0007268846,0.00001199914,0.000002643233,0.0000355781,0.0007250804,0.000001620133,0.00009982171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06784803,"threshold_uncertainty_score":0.1349062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771046680111498,"score_gpt":0.3415779196995358,"score_spread":0.3138674528984208,"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."}}