{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004486538,0.00005013225,0.00007246178,0.00001068544,0.0003422138,0.00004824927,0.00002828072,0.0000685089,0.00000959235],"category_scores_gemma":[0.00001396621,0.00004915842,0.00003623763,0.0001778443,0.0001724952,0.0004659904,0.00001412509,0.00005232688,0.000001659774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000385558,"about_ca_system_score_gemma":0.00002051744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431091,"about_ca_topic_score_gemma":0.00476004,"domain_scores_codex":[0.999379,0.00005476171,0.00009375431,0.0001124308,0.0002492606,0.0001107559],"domain_scores_gemma":[0.9997646,0.00003320293,0.00005815738,0.00005695721,0.00003271654,0.00005439478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001849461,0.00005665276,0.005367919,0.00007755263,0.00003929552,0.000001000771,0.5917398,0.0004331189,0.008688842,0.3800756,0.003296868,0.01020486],"study_design_scores_gemma":[0.0003366102,0.00009629547,0.02716951,0.0000403566,0.00003292649,5.198008e-7,0.9086586,0.02411913,0.0005956288,0.002871463,0.03588672,0.0001922659],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895705,0.0000534283,0.005240381,0.003778167,0.00008970044,0.00009450318,0.000006253848,0.00006160264,0.001105483],"genre_scores_gemma":[0.9946889,0.003226641,0.0001848832,0.00008794894,0.00007085433,0.000003806121,0.000008976212,0.000004391452,0.00172363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3772041,"threshold_uncertainty_score":0.2656214,"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."}}