{"id":"W2298519383","doi":"10.14288/1.0081048","title":"What’s at stake? Visions of immigrant settlement in non-metropolitan Canada","year":2008,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Vision; Immigration; Settlement (finance); Metropolitan area; Political science; Geography; Sociology; Archaeology; Law; Economics; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002103393,0.0003697156,0.0004094527,0.00188722,0.03793266,0.01366503,0.002059047,0.002449169,0.004797373],"category_scores_gemma":[0.003036775,0.0002589683,0.0003956002,0.002743253,0.01595613,0.003099365,0.005492253,0.004848156,0.0002093351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07746462,"about_ca_system_score_gemma":0.1256718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9878557,"about_ca_topic_score_gemma":0.994659,"domain_scores_codex":[0.9974909,0.0004312586,0.00003647947,0.000113199,0.0003386139,0.001589485],"domain_scores_gemma":[0.9965576,0.0001442584,0.0001625375,0.0000548499,0.0009191339,0.002161658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001680664,0.0001322775,0.05344908,0.0001370717,0.0000498977,0.001090106,0.7284375,0.0006839307,0.0006439927,0.1495631,0.02965328,0.03599174],"study_design_scores_gemma":[0.000009143226,0.00002083416,0.02386289,0.0001242388,0.00002182939,0.0001299647,0.9330727,0.0002696157,0.000136336,0.00765331,0.03464472,0.00005450105],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8055828,0.003185146,0.0003745898,0.06524754,0.0002658115,0.00004243649,0.0002330926,0.00002422683,0.1250443],"genre_scores_gemma":[0.9943361,0.0004796885,0.00009899097,0.0008172829,0.000009300223,0.000006588994,0.00002378966,0.00000602358,0.004222308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07746462,"threshold_uncertainty_score":0.5620478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241606292976366,"score_gpt":0.2027858350910209,"score_spread":0.1903697721612573,"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."}}