{"id":"W4387123531","doi":"10.1016/j.cities.2023.104584","title":"Strangers in a strange land: Mapping household and neighbourhood associations with improved wellbeing outcomes in Accra, Ghana","year":2023,"lang":"en","type":"article","venue":"Cities","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; Wellcome Trust","keywords":"Neighbourhood (mathematics); Sanitation; Geography; Socioeconomics; Poverty; Census; Socioeconomic status; Economic growth; Demographic economics; Demography; Economics; Sociology; Population","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":[0.0005733639,0.0002118791,0.0002490209,0.0007644883,0.0006083336,0.0006528109,0.0003470921,0.000288971,0.001934728],"category_scores_gemma":[0.001843093,0.0001769964,0.0002601797,0.002117787,0.000599767,0.0006340895,0.001151249,0.0003799427,0.000246657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008427379,"about_ca_system_score_gemma":0.0005253687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07329593,"about_ca_topic_score_gemma":0.1033526,"domain_scores_codex":[0.9996334,0.0001793399,0.00002478566,0.00006344308,0.00002605253,0.00007293664],"domain_scores_gemma":[0.9990247,0.0001993598,0.0004922241,0.00006476606,0.00007430927,0.0001446417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000727111,0.0000434389,0.9896466,0.00003694887,0.00003863065,0.0002113651,0.003805209,0.0001846746,0.0001865243,0.0001579924,0.000525786,0.00509014],"study_design_scores_gemma":[0.00000594255,0.00002864421,0.9893764,0.00004100891,0.00001663051,0.0001095835,0.009254392,0.0003505267,0.00003494333,0.0001188593,0.0006582947,0.000004770749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999025,0.0001071685,0.00007997078,0.0001071683,0.00000167136,0.000007410734,0.0004750908,0.000002045926,0.0001945045],"genre_scores_gemma":[0.9991623,0.00009678939,0.000186952,0.00002102643,0.000002904733,0.00002151705,0.0003624638,0.00000191724,0.0001441751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07329593,"threshold_uncertainty_score":0.1457386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05560843747667648,"score_gpt":0.2628471627045223,"score_spread":0.2072387252278458,"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."}}