{"id":"W2013242487","doi":"10.1111/1467-9787.00300","title":"The Role of Cultural Clustering in Attracting New Immigrants","year":2003,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Immigration; Homogeneous; Imperfect; Cluster (spacecraft); Demographic economics; Cluster analysis; Economic geography; Political science; Geography; Economics; Mathematics; Computer science; Law; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001672271,0.0002281631,0.0004417108,0.001407343,0.001040512,0.001736008,0.0004589547,0.0007069356,0.003875976],"category_scores_gemma":[0.01243001,0.000182856,0.0002660007,0.0009419561,0.001291157,0.000743907,0.001416026,0.0005017861,0.0003059078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007713354,"about_ca_system_score_gemma":0.0006205927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010157,"about_ca_topic_score_gemma":0.0101908,"domain_scores_codex":[0.9988864,0.0005869381,0.00004985373,0.0001268615,0.000136864,0.0002131427],"domain_scores_gemma":[0.9867551,0.006195298,0.003864822,0.0007165515,0.0009621925,0.001506019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006485066,0.0003576013,0.8870217,0.0001872194,0.0003483351,0.0009905609,0.003065767,0.01181779,0.002493389,0.02936928,0.002276846,0.06142306],"study_design_scores_gemma":[0.0001126655,0.0004284811,0.9312809,0.0001871429,0.0004200132,0.000571656,0.008714445,0.0290588,0.001613105,0.02304222,0.004481002,0.00008955851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903289,0.0003396072,0.0006820429,0.0005854492,0.00001327204,0.00002192212,0.00004551748,0.00001112947,0.007972083],"genre_scores_gemma":[0.9994754,0.00007461974,0.00009718494,0.00002829368,0.00001037629,0.000002060103,0.000008711299,0.000001105022,0.0003022276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010157,"threshold_uncertainty_score":0.02008551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852326481948036,"score_gpt":0.2442975291352212,"score_spread":0.2057742643157408,"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."}}