{"id":"W4297814982","doi":"10.46692/9781529205831.007","title":"Urban Cultural Diversity and Economic Migration in Austere Times","year":2022,"lang":"en","type":"other","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université de Montréal","funders":"","keywords":"Diversity (politics); Geography; Economic geography; Sociology; Anthropology","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":[0.000627883,0.0002801789,0.0002663354,0.001105754,0.004251413,0.005370016,0.0006270865,0.0009235532,0.007818914],"category_scores_gemma":[0.001161327,0.0001401053,0.0001898392,0.002544731,0.007933981,0.002527724,0.004659252,0.001793986,0.0003066936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002961647,"about_ca_system_score_gemma":0.001353988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01333984,"about_ca_topic_score_gemma":0.02268059,"domain_scores_codex":[0.9993369,0.000264214,0.00001882245,0.00003532024,0.0001194274,0.000225297],"domain_scores_gemma":[0.9993424,0.0001788039,0.0001540789,0.00002298857,0.00007617239,0.0002256173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006985882,0.0002340932,0.03927355,0.0004600944,0.00002554549,0.0008337744,0.3542961,0.0007126925,0.0002050381,0.4596904,0.05098784,0.09321102],"study_design_scores_gemma":[0.00001215711,0.0001080246,0.1705347,0.001690109,0.00001482098,0.0008757249,0.4154956,0.0003695263,0.0001383404,0.06245086,0.3482569,0.00005323658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6009021,0.04549328,0.0004114872,0.06709311,0.001072301,0.0000526047,0.00024792,0.00002170178,0.2847055],"genre_scores_gemma":[0.9646488,0.01871422,0.0002352713,0.002002986,0.0005087912,0.0000450423,0.00008388993,0.0000116699,0.0137495],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01333984,"threshold_uncertainty_score":0.02652442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366575525728669,"score_gpt":0.262005315073456,"score_spread":0.2383395598161693,"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."}}