{"id":"W6920522664","doi":"10.60692/d0bbn-5nz65","title":"Identifying deprived \"slum\" neighbourhoods in the Greater Accra Metropolitan Area of Ghana using census and remote sensing data","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Census; Metropolitan area; Population; Urban area; Vegetation (pathology); Urban planning; Logistic regression; Resource (disambiguation)","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":[0.0005358084,0.0002448792,0.0002093816,0.001016299,0.0004700237,0.0005014949,0.0003674969,0.0002122293,0.001599327],"category_scores_gemma":[0.003410815,0.00024533,0.000211832,0.001899203,0.0003407857,0.0006029851,0.001183709,0.0003095646,0.000272096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007423993,"about_ca_system_score_gemma":0.0008857116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1071166,"about_ca_topic_score_gemma":0.1479083,"domain_scores_codex":[0.9996257,0.0001772958,0.00003373934,0.00005509264,0.0000440287,0.00006422496],"domain_scores_gemma":[0.9988614,0.0003173809,0.0005680898,0.00006837558,0.00008827067,0.00009644416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005908604,0.00004799668,0.9831859,0.00005237299,0.00002422517,0.0002781632,0.002181529,0.001712138,0.0002711664,0.0002989996,0.0008871452,0.01100136],"study_design_scores_gemma":[0.00002238552,0.00006458306,0.9724365,0.00009097731,0.00002575196,0.0002149326,0.009541367,0.01317424,0.0002085586,0.0007845978,0.003417633,0.00001853734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973038,0.00008996081,0.0007115058,0.0001596209,0.000002269273,0.00004484136,0.001069742,0.000008413903,0.0006097302],"genre_scores_gemma":[0.9960103,0.0001476264,0.00239672,0.00003894644,0.000003970226,0.000116272,0.0009352514,0.000003370368,0.0003475379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071166,"threshold_uncertainty_score":0.2129862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.223045787179153,"score_gpt":0.3179133365576974,"score_spread":0.09486754937854447,"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."}}