{"id":"W4381951300","doi":"10.1016/j.wss.2023.100161","title":"Immigrant attraction and retention: An exploration of local government policies","year":2023,"lang":"en","type":"article","venue":"Wellbeing Space and Society","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Metropolitan area; Context (archaeology); Local government; Immigration policy; Economic growth; Government (linguistics); Local community; Business; Political science; Geography; Public administration; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002933511,0.0001220498,0.0002152946,0.001343681,0.007690777,0.003929546,0.0009842935,0.0005523589,0.003044911],"category_scores_gemma":[0.005386721,0.0001449579,0.0002213934,0.00370042,0.004114655,0.001377288,0.002781325,0.0006771581,0.0001180837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04901453,"about_ca_system_score_gemma":0.05560394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8304895,"about_ca_topic_score_gemma":0.9145094,"domain_scores_codex":[0.9979813,0.0006642274,0.00006409674,0.0001107051,0.0003359156,0.0008437287],"domain_scores_gemma":[0.9967567,0.001068494,0.0005347405,0.0001334572,0.0009284951,0.0005780906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001068467,0.000271999,0.3116113,0.0006355357,0.00005501743,0.001120388,0.4930593,0.001774336,0.0009070767,0.08620069,0.007770909,0.09648653],"study_design_scores_gemma":[0.0000130631,0.00009703144,0.2743823,0.0005372993,0.00004537869,0.00007034558,0.6532028,0.0007615432,0.0001790326,0.002375502,0.06830069,0.00003497709],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415557,0.0007537852,0.0004361767,0.005038575,0.00001651003,0.0001073012,0.0002108567,0.00001683099,0.05186416],"genre_scores_gemma":[0.9952763,0.000615942,0.0002290676,0.000210629,0.000004888569,0.00004396558,0.00006218717,0.000004583525,0.003552405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8304895,"threshold_uncertainty_score":0.3556269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017963729167055,"score_gpt":0.2971346544316877,"score_spread":0.2669550171400171,"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."}}