{"id":"W2054711524","doi":"10.1080/02665430701213580","title":"New plans for housing in urban Kenya, 1939–63","year":2007,"lang":"en","type":"article","venue":"Planning Perspectives","topic":"African history and culture studies","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"British Academy","keywords":"Economic growth; Neighbourhood (mathematics); Urbanization; Kenya; Colonialism; Bachelor; Government (linguistics); Urban planning; Subdivision; Local government; Subsidy; Renting; Political science; Geography; Public administration; Economics; Engineering; Civil engineering","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":[0.0005354126,0.00009342846,0.0001438287,0.00008954874,0.0006420947,0.00002677113,0.0001226452,0.00006391187,0.00002594324],"category_scores_gemma":[0.0003159129,0.00009150014,0.00005124982,0.0002233203,0.0001590887,0.0001243092,0.00001393524,0.0001165248,0.000004444017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289448,"about_ca_system_score_gemma":0.00009792934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008703166,"about_ca_topic_score_gemma":0.00422429,"domain_scores_codex":[0.9991146,0.00003517786,0.000118877,0.0002243023,0.0001600468,0.0003470501],"domain_scores_gemma":[0.9995714,0.0001828716,0.00005528828,0.00006450563,0.00004562093,0.00008031163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008879251,0.00002898412,0.03712692,0.000004427884,0.00002063854,0.00001486131,0.8941833,0.00001969797,0.00009823749,0.05062807,0.01720292,0.0005831802],"study_design_scores_gemma":[0.0003049448,0.00005238094,0.02871123,0.00004801157,0.00001237501,5.64129e-7,0.7036881,0.000002660353,0.00003786245,0.001106807,0.2658356,0.0001994134],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2840861,0.01126289,0.0179465,0.001730475,0.001038603,0.0007702195,0.00002323152,0.0004310282,0.6827109],"genre_scores_gemma":[0.9922923,0.00001692564,0.002987392,0.0000506997,0.0008416656,0.000005632738,0.00000140979,0.000009950332,0.00379404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7082062,"threshold_uncertainty_score":0.4938538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0339443699960791,"score_gpt":0.3285395483299128,"score_spread":0.2945951783338337,"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."}}