{"id":"W2150470134","doi":"10.1080/02673030902719763","title":"Housing Policy Changes in Ghana in the 1990s","year":2009,"lang":"en","type":"article","venue":"Housing Studies","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Liberalization; Private sector; Production (economics); Government (linguistics); State (computer science); Ideology; Scale (ratio); Public sector; Public housing; Business; Economic policy; Economics; Market economy; Economic growth; Economic system; Political science; Economy; Politics; Macroeconomics","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":[0.0007239996,0.0001048518,0.0001758729,0.0002074563,0.0004535521,0.00005220738,0.0001789427,0.00004906727,0.00000351435],"category_scores_gemma":[0.0002207077,0.00007232045,0.00002341978,0.0006694498,0.0001825184,0.00009068687,0.00003180216,0.0001178599,0.000006928919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944579,"about_ca_system_score_gemma":0.00007448692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213003,"about_ca_topic_score_gemma":0.09912513,"domain_scores_codex":[0.9989011,0.0001695786,0.0001318244,0.0001560012,0.0002588552,0.0003825882],"domain_scores_gemma":[0.9996914,0.000131439,0.00004335068,0.00008505078,0.00002795027,0.00002076872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001511785,0.0001573087,0.0128455,0.00002563284,0.0000327294,0.00008593114,0.8088493,0.00001145779,0.00005970568,0.03415121,0.00372018,0.1400459],"study_design_scores_gemma":[0.0007196031,0.0001162527,0.2550313,0.0005605617,0.0000184001,0.000001723754,0.6792089,0.000009144082,0.00009737595,0.0173294,0.04629587,0.0006115244],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7997255,0.01042393,0.00000175524,0.1558675,0.0002694106,0.0002676456,6.301794e-7,0.00009327502,0.03335042],"genre_scores_gemma":[0.9914073,0.005860924,0.0001437165,0.001937731,0.0003844909,0.000006011882,3.21895e-7,0.00000506994,0.0002544477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2421858,"threshold_uncertainty_score":0.9173135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0974999306069264,"score_gpt":0.3732728151149164,"score_spread":0.27577288450799,"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."}}