{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005921673,0.0003591926,0.0001281549,0.0008959967,0.01038995,0.00199936,0.0004622974,0.001052478,0.01448232],"category_scores_gemma":[0.0006833359,0.0005231994,0.0001157378,0.001738743,0.002148355,0.002333317,0.002243595,0.001717251,0.001038617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009043616,"about_ca_system_score_gemma":0.008063139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.195331,"about_ca_topic_score_gemma":0.541264,"domain_scores_codex":[0.999718,0.00004648743,0.00001461704,0.00002272879,0.00004827989,0.0001498173],"domain_scores_gemma":[0.9998738,0.000011941,0.00002200901,0.00000475447,0.00002466769,0.00006279975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001447225,0.0003516369,0.03189188,0.0005680701,0.00001687723,0.005078479,0.221722,0.0008700093,0.002896484,0.4502481,0.1316535,0.1545581],"study_design_scores_gemma":[0.00002024334,0.00004708734,0.0471141,0.0002236796,0.000006086704,0.0003350234,0.03736519,0.0001064594,0.0002808569,0.003218526,0.9112465,0.0000361316],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4143265,0.02332391,0.0009566251,0.03103649,0.0008453526,0.0006109912,0.001210247,0.00004194324,0.5276479],"genre_scores_gemma":[0.7534401,0.01286614,0.002183973,0.002354601,0.0001494456,0.0005840515,0.0004518067,0.00002450612,0.2279454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.195331,"threshold_uncertainty_score":0.3883881,"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."}}