{"id":"W1860446085","doi":"10.25336/p6vw3v","title":"Immigration and Integration in Urban Communities: Renegotiating the City","year":2010,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Political science; Geography; Regional science; Economic growth; Demographic economics; Development economics; Economic geography; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01197343,0.0003397486,0.001040183,0.002307742,0.03018195,0.01546066,0.003821064,0.00318642,0.004187172],"category_scores_gemma":[0.007776134,0.0003895944,0.0008505905,0.005236114,0.02881064,0.006624863,0.01274454,0.004891232,0.0001773566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07974011,"about_ca_system_score_gemma":0.156556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9327105,"about_ca_topic_score_gemma":0.9808142,"domain_scores_codex":[0.9912255,0.002715576,0.0002120167,0.0004741808,0.0008787664,0.004493906],"domain_scores_gemma":[0.9898011,0.001208554,0.0005774297,0.0006809251,0.002216665,0.005515264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003972542,0.0003411956,0.06762222,0.0001416171,0.00005751101,0.0005611374,0.6235997,0.0008207482,0.001117077,0.2289471,0.01069158,0.06570293],"study_design_scores_gemma":[0.00004337403,0.0000786387,0.1012248,0.0002220355,0.00006570209,0.00009021528,0.7975455,0.0003595806,0.0002627627,0.006940126,0.09305431,0.0001129807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929575,0.002259613,0.0004217988,0.0333548,0.0004193806,0.00006813144,0.00008146968,0.00001436897,0.03380536],"genre_scores_gemma":[0.9913599,0.001152288,0.0004754562,0.002654704,0.00007836036,0.00004016456,0.00005317906,0.00001692849,0.004168963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07974011,"threshold_uncertainty_score":0.5785577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0608365327052042,"score_gpt":0.3296547865012004,"score_spread":0.2688182537959962,"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."}}