{"id":"W4210248487","doi":"10.1093/jae/ejac003","title":"Can Urbanisation Improve Household Welfare? Evidence From Ethiopia","year":2022,"lang":"en","type":"article","venue":"Journal of African Economies","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Urbanization; Welfare; Consumption (sociology); Economics; Inequality; Poverty; Quantile regression; Demographic economics; Geography; Development economics; Economic growth; Economic geography; Socioeconomics; Econometrics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007358339,0.0001214168,0.000234165,0.00006540032,0.0003414584,0.00003960413,0.000377853,0.00003190263,0.007644714],"category_scores_gemma":[0.00004543586,0.0001133393,0.0001015081,0.00007493969,0.0001060024,0.000489479,0.0001996114,0.0003472905,0.0000363111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355414,"about_ca_system_score_gemma":0.00005417861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276023,"about_ca_topic_score_gemma":0.0001536634,"domain_scores_codex":[0.9986666,0.0001052625,0.0004625253,0.0001653701,0.0003246868,0.0002755888],"domain_scores_gemma":[0.9988427,0.0001175042,0.0006605341,0.0001906602,0.000003515951,0.0001851424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000408913,0.000286553,0.9408725,0.00001115804,0.0001011141,0.00004738165,0.01433958,0.008771943,0.01251686,0.0003061593,0.01289927,0.009438597],"study_design_scores_gemma":[0.0004958844,0.0008010344,0.9113451,0.000009878105,0.00004005715,0.00002728036,0.003280388,0.00009827504,0.001109627,0.001392373,0.08117,0.0002301286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983504,0.0002152779,0.00002282962,0.01389662,0.0004390043,0.00009367201,0.00004069816,0.00001021279,0.001777663],"genre_scores_gemma":[0.9979624,0.0001432636,0.0006350468,0.000631629,0.0001677197,0.000005793992,0.000001642178,0.00001557784,0.0004369851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06827073,"threshold_uncertainty_score":0.9932624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524113164757924,"score_gpt":0.2253966275976548,"score_spread":0.2001554959500755,"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."}}