{"id":"W7075715069","doi":"","title":"Assessing Poverty in Kenya","year":2012,"lang":"en","type":"other","venue":"RePEc: Research Papers in Economics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Quarter (Canadian coin); Population; Per capita; Per capita income; Rural area; Developing country; Poverty threshold; Rural poverty; Basic needs","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002134784,0.0003984215,0.0002993694,0.003599724,0.00291509,0.001809218,0.0004491851,0.0004928241,0.003887208],"category_scores_gemma":[0.00385201,0.0002366883,0.0002530825,0.002937829,0.0006113004,0.001614192,0.002090722,0.0005981834,0.000517961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00306933,"about_ca_system_score_gemma":0.003698972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05371916,"about_ca_topic_score_gemma":0.1347231,"domain_scores_codex":[0.9989161,0.0004099439,0.00009842924,0.00005992955,0.0002831915,0.0002323247],"domain_scores_gemma":[0.9988229,0.0002004081,0.0002816198,0.00002006313,0.0004477138,0.0002273025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001991606,0.0002205343,0.7335875,0.001212377,0.0001793084,0.001071166,0.03202028,0.001365808,0.001395588,0.009585379,0.02621147,0.1929516],"study_design_scores_gemma":[0.0000243822,0.0003842777,0.8201706,0.001819698,0.0001034304,0.0009447191,0.08538433,0.001473022,0.00102783,0.004890178,0.08366387,0.0001136871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204838,0.007011702,0.001265431,0.004139379,0.00008172348,0.0007168976,0.004614843,0.000029635,0.06165665],"genre_scores_gemma":[0.9817725,0.006943912,0.004261727,0.0003756092,0.00002625144,0.0005728359,0.00166586,0.000009506543,0.004371855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05371916,"threshold_uncertainty_score":0.106813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07274816102721111,"score_gpt":0.3026002939735956,"score_spread":0.2298521329463845,"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."}}