{"id":"W2568361823","doi":"10.1080/01944363.2017.1251281","title":"<i>Multicultural Cities: Toronto, New York, and Los Angeles</i>, by Mohammad Abdul Qadeer","year":2017,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiculturalism; Gerontology; Sociology; Geography; Media studies; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0006163202,0.00008589482,0.0002066561,0.00001839129,0.001047704,0.0004162035,0.0003756915,0.00005719101,0.00002397092],"category_scores_gemma":[0.001109643,0.00006359819,0.00007490157,0.00006685658,0.0001313521,0.0005283291,0.00003443226,0.0001904264,0.000001298625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742987,"about_ca_system_score_gemma":0.0001059943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005349515,"about_ca_topic_score_gemma":0.0009156321,"domain_scores_codex":[0.9987647,0.0001687176,0.0002313231,0.0000836234,0.000544515,0.0002071379],"domain_scores_gemma":[0.9973717,0.0001611187,0.002075565,0.0001067401,0.0001609845,0.000123839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000221361,0.00001457498,0.4280701,0.000001878684,0.00007165824,0.000001650256,0.01926847,0.00004228267,0.0006242287,0.00009104378,0.5502473,0.001544685],"study_design_scores_gemma":[0.0008164741,0.00009857154,0.715488,0.0001663678,0.000130319,0.000009819471,0.04175472,0.0001505457,0.0001661905,0.0001225586,0.2408128,0.0002836374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786098,0.001171881,0.0001062648,0.007498297,0.0008088548,0.0001004369,0.00002893384,0.00002794574,0.01164761],"genre_scores_gemma":[0.9858297,0.00006404326,0.0002498022,0.0007462481,0.0006942993,4.598986e-7,0.00000204064,0.000007980495,0.0124054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3094345,"threshold_uncertainty_score":0.8086902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182855561339204,"score_gpt":0.2978851300796899,"score_spread":0.2760565744662978,"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."}}