{"id":"W2953337004","doi":"","title":"Divercities: Dealing with Urban Diversity : The Case of Toronto","year":2017,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Geography; Sociology; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000259023,0.00007276597,0.0001464449,0.00002044178,0.004307979,0.00004573831,0.000659949,0.00005986715,0.0006890759],"category_scores_gemma":[0.00004318759,0.00006869709,0.00006059151,0.00004222595,0.0007573023,0.0006157432,0.0004330094,0.00006559727,0.000004327797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008044165,"about_ca_system_score_gemma":0.00006532813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1989697,"about_ca_topic_score_gemma":0.1883715,"domain_scores_codex":[0.9993467,0.00006970527,0.00006229214,0.00013822,0.0002290838,0.0001540241],"domain_scores_gemma":[0.9990819,0.00006717454,0.0002516489,0.0003189839,0.0002014793,0.00007884813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002070463,0.00008838325,0.3645868,0.00006852927,0.000202243,0.0006957344,0.5596042,0.0000318334,0.00004032726,0.06147909,0.005423112,0.007572692],"study_design_scores_gemma":[0.001470884,0.0001931733,0.1490032,0.0001803468,0.0002487133,0.00002654712,0.8121482,0.0002098769,0.00005357206,0.0002829734,0.0357916,0.0003909229],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8956524,0.00006923879,0.0006661876,0.0008210118,0.00009947622,0.0001422882,0.0000434962,0.00003245215,0.1024735],"genre_scores_gemma":[0.9958149,0.00003948153,0.0002422395,0.00003491096,0.00003286322,3.674528e-8,0.000002568528,0.000003645165,0.003829373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2525439,"threshold_uncertainty_score":0.9969883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266936242508166,"score_gpt":0.2462791253404257,"score_spread":0.2195855010896091,"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."}}