{"id":"W2940305191","doi":"10.1002/9781118568446.eurs0204","title":"Migration, Gender, Cities","year":2019,"lang":"en","type":"other","venue":"The Wiley Blackwell Encyclopedia of Urban and Regional Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gentrification; Citizenship; Scholarship; Sociology; Gender studies; Inequality; Politics; Political science; Economic growth","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":[0.0006075794,0.0004166257,0.0002484977,0.001786601,0.002490743,0.0050781,0.0005262706,0.0008154499,0.04679488],"category_scores_gemma":[0.001524689,0.00006868436,0.0001536626,0.004319216,0.004053123,0.002424714,0.003250454,0.000718115,0.00290757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462416,"about_ca_system_score_gemma":0.001727932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669384,"about_ca_topic_score_gemma":0.01862768,"domain_scores_codex":[0.9995994,0.0002068695,0.00001540149,0.00006383625,0.00006114064,0.00005340752],"domain_scores_gemma":[0.9993193,0.0003134947,0.00011455,0.00003682254,0.00008053514,0.0001352055],"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":[0.00009874651,0.0001137936,0.02314731,0.001528839,0.00002072024,0.0005361821,0.0459071,0.0003556965,0.0001383479,0.4710527,0.2089731,0.2481275],"study_design_scores_gemma":[0.000007781439,0.00003547913,0.01963757,0.001643852,0.00001058161,0.0002970963,0.06890037,0.0001331356,0.0000618515,0.05296133,0.8562945,0.00001634519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06784873,0.1306022,0.0006463762,0.04446087,0.003271007,0.0000299593,0.001748376,0.0001066191,0.7512859],"genre_scores_gemma":[0.7096618,0.08866023,0.0006414191,0.004607826,0.001778204,0.0001066522,0.0007064767,0.00008536845,0.193752],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04679488,"threshold_uncertainty_score":0.1565444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222876184655762,"score_gpt":0.2839080831496301,"score_spread":0.2516793213030725,"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."}}