{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533972,0.0001252744,0.0002060532,0.0003646931,0.0003581976,0.000231977,0.0003466113,0.00009552713,0.000005125334],"category_scores_gemma":[0.00007457003,0.00008876357,0.00003075321,0.0006149073,0.00008348063,0.0008193859,0.0001909815,0.00009181099,0.00003007698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644723,"about_ca_system_score_gemma":0.00005005061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115549,"about_ca_topic_score_gemma":0.00008679694,"domain_scores_codex":[0.9983597,0.000238145,0.0004917592,0.0001588154,0.0004371122,0.0003144228],"domain_scores_gemma":[0.9992234,0.00003185999,0.0002344548,0.000363818,0.00008786945,0.00005858755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003161515,0.000001903077,0.04809383,0.0004046874,0.00008403981,0.00002554581,0.9427506,0.00001412832,0.000009535753,0.0008977429,0.0001871611,0.007499185],"study_design_scores_gemma":[0.0005590129,0.0000115191,0.1160944,0.0004551731,0.0000390046,0.00001772906,0.8633065,0.01890212,0.00006110854,0.00003166595,0.0002857918,0.0002359777],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929658,0.00001898304,0.001879003,0.0002992091,0.0002812325,0.0003140167,0.00006611421,0.0001017142,0.004073979],"genre_scores_gemma":[0.9989597,0.00000570291,0.0008453486,0.00004148343,0.00005877906,5.751105e-7,0.00003175006,0.000006670437,0.0000499694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0794441,"threshold_uncertainty_score":0.3619673,"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."}}