{"id":"W4385360691","doi":"10.59962/9780774862042-013","title":"Neighbourhood Change in Calgary: An Evolving Geography of Income Inequality and Social Difference","year":2020,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Inequality; Economic geography; Geography; Social inequality; Economic inequality; Sociology; Demographic economics; Socioeconomics; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006054017,0.0002569342,0.0005587089,0.001696536,0.004761279,0.009655054,0.001158811,0.001504605,0.010043],"category_scores_gemma":[0.001479662,0.0002347537,0.0002158572,0.007826894,0.01023391,0.002584856,0.003011222,0.002300147,0.0004098555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0254894,"about_ca_system_score_gemma":0.01751629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.81175,"about_ca_topic_score_gemma":0.9245659,"domain_scores_codex":[0.9995378,0.0001363181,0.00001259358,0.00006351787,0.00009275614,0.0001570034],"domain_scores_gemma":[0.9995105,0.0002041416,0.00003246086,0.00003366844,0.00008666811,0.0001326444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004502095,0.00003755243,0.01637225,0.0002868103,0.00002838504,0.0004010405,0.1042842,0.001010731,0.0002075125,0.5903925,0.06334457,0.2235894],"study_design_scores_gemma":[0.00001301407,0.00002823139,0.1299888,0.001276038,0.00002889467,0.0001525616,0.1513112,0.0005884097,0.00009932739,0.145421,0.5710468,0.00004556926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1374589,0.115975,0.001475236,0.06445756,0.001504346,0.00005206496,0.0008200664,0.00006301946,0.6781938],"genre_scores_gemma":[0.8139285,0.05614448,0.00163075,0.002882163,0.0003793067,0.0000475448,0.0003669436,0.00007245984,0.1245479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.18825,"threshold_uncertainty_score":0.3787172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365362926755955,"score_gpt":0.1865267037433913,"score_spread":0.1628730744758318,"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."}}