{"id":"W2078452009","doi":"10.1007/s12134-008-0051-2","title":"Attracting Immigrants to Smaller Urban and Rural Communities: Lessons Learned from the Manitoba Provincial Nominee Program","year":2008,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"Manitoba Labour and Immigration; University of Winnipeg","funders":"","keywords":"Immigration; Distribution (mathematics); Government (linguistics); Population; Political science; Geography; Economic growth; New immigrants; Demographic economics; Sociology; Demography; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009290799,0.0004425578,0.0004804088,0.0006070767,0.01481607,0.003642699,0.003597334,0.002372179,0.006886409],"category_scores_gemma":[0.009375919,0.0003536037,0.0003995927,0.001225667,0.0028374,0.001570776,0.004898758,0.003292277,0.0004569033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01725206,"about_ca_system_score_gemma":0.1514713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7515059,"about_ca_topic_score_gemma":0.9398436,"domain_scores_codex":[0.9962816,0.001609159,0.000062784,0.00014247,0.000394525,0.001509507],"domain_scores_gemma":[0.990791,0.001520674,0.0002190032,0.0002274295,0.001374741,0.005867264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00115507,0.009078528,0.2641555,0.001057607,0.0001205037,0.003817282,0.1855082,0.001208538,0.004089515,0.01472555,0.0644036,0.4506802],"study_design_scores_gemma":[0.001056604,0.002807055,0.3671619,0.001701713,0.0001869986,0.0006309648,0.483932,0.001644738,0.001499736,0.003558296,0.1356948,0.0001252786],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944936,0.001164532,0.000561827,0.0761075,0.0004490576,0.0009818202,0.0001125392,0.00003667561,0.02609236],"genre_scores_gemma":[0.9541461,0.002177089,0.003702497,0.01414949,0.0001124949,0.001029824,0.0001680246,0.00004030302,0.02447422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2484941,"threshold_uncertainty_score":0.499915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05026068495969738,"score_gpt":0.2931017527563886,"score_spread":0.2428410677966912,"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."}}