{"id":"W2328286522","doi":"","title":"A TALE OF THREE CITIES: HOUSING AND IMMIGRANTS IN CANADA","year":2010,"lang":"en","type":"article","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Immigration; Geography; Population; Presentation (obstetrics); Columbia university; History; Genealogy; Economic history; Demography; Economic growth; Political science; Sociology; Archaeology; Media studies; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009066621,0.0003789735,0.0004638468,0.001990704,0.02354197,0.005855626,0.001229585,0.00130701,0.007364742],"category_scores_gemma":[0.001854777,0.0002489093,0.0004987992,0.005161716,0.004061548,0.001812285,0.004391353,0.002433624,0.0002996066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07621066,"about_ca_system_score_gemma":0.1195203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975227,"about_ca_topic_score_gemma":0.9993916,"domain_scores_codex":[0.9987407,0.00013434,0.00003627825,0.00008756697,0.0003173059,0.0006837316],"domain_scores_gemma":[0.997834,0.00009617806,0.0001076224,0.00005279187,0.0008664872,0.001042902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002861698,0.0002275189,0.4353015,0.0004018758,0.0001869076,0.001416774,0.1336822,0.0009935298,0.0007173222,0.05341365,0.1989486,0.174424],"study_design_scores_gemma":[0.00002171898,0.00005948978,0.3477331,0.0005944404,0.0001232717,0.0002866267,0.4715347,0.0004203688,0.0003046683,0.003607324,0.1751143,0.0002000537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7496782,0.03020731,0.0004875283,0.1243841,0.001306393,0.0001265526,0.003593931,0.00005608835,0.09015995],"genre_scores_gemma":[0.9665236,0.01035899,0.0003812629,0.003466289,0.00008811095,0.00002959261,0.0006008837,0.00002985633,0.01852139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07621066,"threshold_uncertainty_score":0.5529497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863303379590782,"score_gpt":0.2472927641286621,"score_spread":0.2286597303327543,"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."}}