{"id":"W2137345540","doi":"","title":"Regional Immigration and Dispersal: Lessons from Small- and Medium-Sized Urban Centres in British Columbia","year":2004,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); Metropolitan area; Political science; Context (archaeology); Government (linguistics); Geography; Business; Law; Payment; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002360376,0.00009992784,0.0002670077,0.00006914004,0.0006432134,0.00009319224,0.00008909933,0.00009757693,0.00003504999],"category_scores_gemma":[0.0005135391,0.0001422771,0.00003064942,0.0002489246,0.0008508897,0.0001379028,0.00003254278,0.000120316,0.000002584653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004501836,"about_ca_system_score_gemma":0.0005056213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9844365,"about_ca_topic_score_gemma":0.9999576,"domain_scores_codex":[0.9988247,0.0001029849,0.0001961513,0.0003166647,0.0001844442,0.000375041],"domain_scores_gemma":[0.9991566,0.0003327259,0.00005604005,0.0000809082,0.0001113386,0.0002623993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001069949,0.00003983965,0.6301008,0.00002488832,0.0003353722,0.00009549683,0.2652672,0.000003022615,0.00001645851,0.004753262,0.03821521,0.06113774],"study_design_scores_gemma":[0.0006482241,0.00001401542,0.9076104,0.00009766989,0.00002942567,0.000001213154,0.07870153,0.000003169611,0.000001090273,0.00394491,0.00877724,0.000171081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.834673,0.1359898,0.000005125693,0.02785169,0.0003159499,0.000297279,0.0001022034,0.00004313174,0.0007217215],"genre_scores_gemma":[0.9421476,0.05574293,0.00007139116,0.0007537447,0.0002232622,0.00003620694,0.00001408868,0.00001039253,0.001000363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2775096,"threshold_uncertainty_score":0.580189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09592128241857759,"score_gpt":0.3330398424862478,"score_spread":0.2371185600676702,"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."}}