{"id":"W2015523431","doi":"10.1007/s12134-008-0050-3","title":"Attracting and retaining immigrants outside the metropolis: is the pie too small for everyone to have a piece? The case of Edmonton, Alberta","year":2008,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Immigration; Government (linguistics); Population; Immigration policy; Position (finance); Capital city; Political science; Economic growth; Geography; Demographic economics; Sociology; Business; Economics; Demography; Economic geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003981118,0.0002704122,0.0003084193,0.0003931857,0.0008897413,0.0005225098,0.0005398931,0.0001757936,0.0000831791],"category_scores_gemma":[0.006967145,0.0001698891,0.0002457562,0.0003626478,0.000432655,0.000902838,0.00004940237,0.000563726,0.000002284712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003805165,"about_ca_system_score_gemma":0.000461264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01560706,"about_ca_topic_score_gemma":0.2558721,"domain_scores_codex":[0.9968194,0.0008785806,0.001233158,0.0002875551,0.0005336315,0.0002476841],"domain_scores_gemma":[0.9920428,0.003739161,0.00129997,0.0002335521,0.002532056,0.0001524524],"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":[0.0008619449,0.0003974234,0.04086435,0.00003514036,0.000579282,0.00004376871,0.4552146,0.002672545,0.01009157,0.4309218,0.04525921,0.0130584],"study_design_scores_gemma":[0.003288898,0.001189742,0.06198499,0.000879969,0.0004256562,0.007377343,0.233434,0.2302165,0.01049365,0.01157254,0.43812,0.001016837],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7302924,0.0004637912,0.1674069,0.09779002,0.0005233594,0.0008587039,0.00008327731,0.00002215309,0.002559366],"genre_scores_gemma":[0.9802355,0.002284968,0.004560981,0.005915327,0.0006369954,0.0001262798,0.00004821257,0.00002635161,0.006165367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4193493,"threshold_uncertainty_score":0.9909481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03500381348034681,"score_gpt":0.3337515956326352,"score_spread":0.2987477821522884,"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."}}