{"id":"W2900532433","doi":"10.1016/j.dib.2018.11.063","title":"Data on the demographics, education, health and infrastructure: Wolaita Zone, Ethiopia","year":2018,"lang":"en","type":"article","venue":"Data in Brief","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Agriculture; Public health; Geography; Data set; Contextualization; Economic growth; Environmental planning; Medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005601344,0.0001114217,0.0001235232,0.000110293,0.0002472416,0.0001649772,0.001314575,0.00006096927,0.00005714011],"category_scores_gemma":[0.000306587,0.00008444522,0.000007641776,0.0003297877,0.0002336024,0.0004483379,0.0005926799,0.0002945151,0.00001391858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002224671,"about_ca_system_score_gemma":0.0000852927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008092532,"about_ca_topic_score_gemma":0.001677523,"domain_scores_codex":[0.9987677,0.0001442745,0.0002336123,0.0004853191,0.0001666863,0.0002023766],"domain_scores_gemma":[0.9974183,0.0001331431,0.00007982744,0.002232054,0.00004074489,0.00009586946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008362004,0.0001163726,0.05898432,0.00004218081,0.000007715831,3.644688e-7,0.0005460925,6.747093e-8,0.000005060012,0.002886482,0.9143375,0.02299026],"study_design_scores_gemma":[0.0004009903,0.00007639551,0.2261447,0.000134236,0.000005685624,0.00001262201,0.0001557737,0.0002149155,0.00003177555,0.002450884,0.7702556,0.0001164031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6557699,0.002239893,0.0003994068,0.3272876,0.004092165,0.001317913,0.00718112,0.0001635407,0.001548457],"genre_scores_gemma":[0.9110038,0.0002975042,0.001544978,0.07509779,0.001162128,0.000007371964,0.01082648,0.00002981824,0.00003014616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2552338,"threshold_uncertainty_score":0.3443576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260888215639543,"score_gpt":0.3378775599964517,"score_spread":0.2952686778400563,"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."}}