{"id":"W4244484864","doi":"10.1002/9781118568446.eurs0498","title":"Toronto","year":2019,"lang":"en","type":"other","venue":"The Wiley Blackwell Encyclopedia of Urban and Regional Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiculturalism; Immigration; Geography; Capital city; Political science; Economic geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003063683,0.0002124913,0.0003707366,0.00004346083,0.0002452812,0.00001649891,0.0002361816,0.0001861707,0.0004215931],"category_scores_gemma":[0.00009022233,0.0001276681,0.0001027261,0.00007465616,0.0009761353,0.00007917236,0.00005098971,0.0001052565,0.00006652665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006962903,"about_ca_system_score_gemma":0.0001230353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007708758,"about_ca_topic_score_gemma":0.05015979,"domain_scores_codex":[0.9987702,0.0001543438,0.0002274115,0.0002399592,0.000410042,0.0001980465],"domain_scores_gemma":[0.9991839,0.0001798648,0.0002717582,0.0002157087,0.0001065208,0.00004224494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008692593,0.00001994431,0.000168651,0.00005342038,0.0001370922,2.594773e-7,0.02033945,2.401163e-7,4.765195e-7,0.03088823,0.9470024,0.001381116],"study_design_scores_gemma":[0.0001173436,0.00004337487,0.00006558462,0.0003182104,0.00006651419,3.195642e-7,0.00854218,0.000001883375,5.913739e-7,0.0009726755,0.9897099,0.0001614475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009513921,0.2607233,0.000002912226,0.0006599561,0.0005875084,0.0003503644,0.00001559279,0.00004243635,0.7375228],"genre_scores_gemma":[0.0002193269,0.4370199,0.00002081214,0.0001073433,0.0008932396,0.00001166273,0.000009488333,0.00003984592,0.5616783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1762967,"threshold_uncertainty_score":0.998899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228274186152418,"score_gpt":0.2932395850649631,"score_spread":0.2709568432034389,"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."}}