{"id":"W7043415613","doi":"","title":"Solutions to Poverty According to Those Who Live It: Case Study in Manyatta B Informal Settlement, Kisumu, Kenya","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Poverty; Government (linguistics); Population; Developing country","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002916516,0.0008079435,0.0008702152,0.001302009,0.003761889,0.0003196078,0.001108559,0.0006820327,0.0003853032],"category_scores_gemma":[0.001410089,0.0008548243,0.0002667004,0.002138318,0.00005178706,0.001268536,0.0006114368,0.001396987,0.002060318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648075,"about_ca_system_score_gemma":0.0002901109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01833252,"about_ca_topic_score_gemma":0.5358993,"domain_scores_codex":[0.9937088,0.0006294285,0.001235763,0.001234115,0.001491739,0.001700115],"domain_scores_gemma":[0.9972942,0.0003981006,0.0003712263,0.0006196193,0.0004394054,0.0008774342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001621202,0.00474527,0.01466503,0.001371641,0.002602237,0.01882164,0.1324773,0.0004534268,0.00169112,0.1120109,0.008487721,0.7010525],"study_design_scores_gemma":[0.001521665,0.0005429566,0.02410241,0.001548988,0.0002217102,0.00003414418,0.7843668,0.000007539191,0.0002507364,0.001306626,0.1834591,0.002637305],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9154363,0.00008792859,8.55126e-8,0.0005045757,0.002652625,0.003076253,0.0008531142,0.0003854682,0.07700367],"genre_scores_gemma":[0.9423831,0.0006056938,0.0001855495,0.001159815,0.0001531926,0.0006783754,0.0004002581,0.0001689235,0.05426516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6984152,"threshold_uncertainty_score":0.9993902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.069084690859654,"score_gpt":0.3380690875880142,"score_spread":0.2689843967283602,"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."}}