{"id":"W2021236955","doi":"10.1177/1757975912462425","title":"From bulldozing to housing rights: reducing vulnerability and improving health in African slums","year":2013,"lang":"en","type":"article","venue":"Global Health Promotion","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; Bruyère; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Vulnerability (computing); Slum; Human rights; Metropolitan area; Economic growth; Incentive; Forced migration; Political science; Socioeconomics; Development economics; Geography; Environmental health; Population; Refugee; Sociology; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002164708,0.0003197726,0.0002165135,0.0005649264,0.00300487,0.001579287,0.0005634366,0.0008178132,0.003727527],"category_scores_gemma":[0.004345403,0.0001296789,0.0001713918,0.0004389054,0.003371747,0.002251693,0.005326462,0.0009453794,0.0001715971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058169,"about_ca_system_score_gemma":0.003430352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005131262,"about_ca_topic_score_gemma":0.01457957,"domain_scores_codex":[0.9988237,0.0006769011,0.00002354198,0.0000246438,0.00006824427,0.00038297],"domain_scores_gemma":[0.9988142,0.0002998576,0.0003070625,0.00004478964,0.00006843068,0.0004655886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000274224,0.001568695,0.1913737,0.001748627,0.00007054862,0.002881857,0.2469466,0.001024366,0.00571269,0.0365194,0.01396241,0.4979168],"study_design_scores_gemma":[0.00009489533,0.00240232,0.243488,0.004319836,0.00006877864,0.0009658383,0.6209244,0.001140992,0.002630744,0.03068578,0.09321683,0.00006165824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646168,0.002501925,0.0007365189,0.01888929,0.00009509739,0.0001224207,0.00002395268,0.00001460011,0.01299942],"genre_scores_gemma":[0.9959163,0.001423231,0.0007992869,0.0007445628,0.0000320962,0.00004252976,0.000008500388,0.000002435002,0.001031116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005131262,"threshold_uncertainty_score":0.01246983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805824676989877,"score_gpt":0.355278509499418,"score_spread":0.3172202627295193,"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."}}