{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001050033,0.0000645851,0.00009583386,0.0001563915,0.0007078547,0.00005070263,0.00008622261,0.00006423398,0.00002022636],"category_scores_gemma":[0.0004418977,0.00005780124,0.00001149451,0.0002380189,0.0001843252,0.0002985054,0.00001300594,0.000207616,0.000001434543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792695,"about_ca_system_score_gemma":0.00007828495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.877865,"about_ca_topic_score_gemma":0.9997995,"domain_scores_codex":[0.9992708,0.0001772699,0.0002139918,0.00009046457,0.00007394478,0.0001735541],"domain_scores_gemma":[0.9995383,0.0001712878,0.00006834156,0.0001097799,0.00006057932,0.00005169128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001275048,0.000003341999,0.7921283,0.000002797969,0.000002261618,2.00341e-7,0.190228,0.000012479,0.000005085737,0.01435965,0.0002060799,0.003050457],"study_design_scores_gemma":[0.00009281146,0.000009246934,0.8539955,0.00002807667,0.000003193092,2.657634e-7,0.1387438,0.0008356769,0.000002926515,0.004875415,0.001329374,0.00008366609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994872,0.0002189359,0.00001309971,0.00134151,0.0003964217,0.0002296941,0.000002883771,0.00001044622,0.00291498],"genre_scores_gemma":[0.9992411,0.000192255,0.00006509485,0.0001811924,0.0001637225,0.00003080678,0.00002546074,0.000003730475,0.00009663822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1219345,"threshold_uncertainty_score":0.5444317,"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."}}