{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399866,0.0004588958,0.0003425734,0.0005624879,0.02919252,0.002596747,0.0009309413,0.002764966,0.006725531],"category_scores_gemma":[0.00197459,0.0003024602,0.0002203799,0.001192662,0.005238093,0.001691158,0.003974823,0.002722923,0.0004627436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696016,"about_ca_system_score_gemma":0.005048173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04691475,"about_ca_topic_score_gemma":0.2452783,"domain_scores_codex":[0.9990121,0.0004382459,0.00002159658,0.00005285118,0.00005400744,0.0004212157],"domain_scores_gemma":[0.9991252,0.0002674522,0.0001106243,0.00001874284,0.00006758406,0.0004104732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001254984,0.001193492,0.04084631,0.0002729421,0.00002537876,0.02029905,0.8859631,0.0002949191,0.001265289,0.01120839,0.00835236,0.03015324],"study_design_scores_gemma":[0.000007475303,0.0000986716,0.008316002,0.0001005846,0.000008064419,0.00082081,0.9810461,0.00005449096,0.00008355244,0.0003467313,0.009109085,0.000008516238],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792641,0.0003380583,0.0001816578,0.003553999,0.00003898067,0.000116761,0.0000303565,0.000003096799,0.01647301],"genre_scores_gemma":[0.987802,0.000929522,0.0003455817,0.0007919676,0.00001241169,0.00008214577,0.00002011263,0.000006755494,0.01000958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04691475,"threshold_uncertainty_score":0.09328336,"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."}}