{"id":"W4385937869","doi":"10.1093/oxfordhb/9780190879457.013.15","title":"Slums","year":2023,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Slum; Overcrowding; Work (physics); State (computer science); Balance (ability); Power (physics); Development economics; Government (linguistics); Democracy; Political science; Business; Economic growth; Economics; Sociology; Politics; Law; Population; Engineering; Psychology","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":[0.0002987327,0.0005999537,0.0002209505,0.001686013,0.001990902,0.002345194,0.000705175,0.0007206735,0.1190177],"category_scores_gemma":[0.0008658704,0.0001373392,0.0002176451,0.00334103,0.001006232,0.002344209,0.002978071,0.001111432,0.02833789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970398,"about_ca_system_score_gemma":0.001688984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00931424,"about_ca_topic_score_gemma":0.0157028,"domain_scores_codex":[0.9996114,0.00009304295,0.00001960803,0.00004016118,0.00009372245,0.0001419081],"domain_scores_gemma":[0.9998083,0.00003977477,0.00002881733,0.00001498592,0.00005680037,0.00005137058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003107874,0.00002771123,0.00217304,0.0008551619,0.000003778103,0.0009543459,0.009454921,0.0001261344,0.0003354845,0.1629827,0.5494643,0.2735913],"study_design_scores_gemma":[9.812718e-7,0.000006711226,0.0004660821,0.00012796,5.421439e-7,0.0001549833,0.001398962,0.000007188883,0.00003508582,0.0006996113,0.9971003,0.000001584539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01369015,0.02957764,0.0004924579,0.009222809,0.003130929,0.00007219583,0.001870373,0.0002324581,0.9417109],"genre_scores_gemma":[0.1448548,0.04665221,0.001088301,0.00546622,0.0009194218,0.000125306,0.002952953,0.0002312863,0.7977096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1190177,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06724805914723152,"score_gpt":0.2393460728091032,"score_spread":0.1720980136618717,"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."}}