{"id":"W3211501201","doi":"","title":"An Immigration Innovation: A Comparative Analysis of the American Diversity Visa Lottery Program and the Canadian Points-Based System","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Immigration; Diversity (politics); Political science; Regional science; Economic geography; Geography; Economics; Law; Microeconomics","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":[0.004086731,0.0002117886,0.0004738252,0.004768707,0.01029443,0.005490196,0.001690918,0.0009402305,0.01267202],"category_scores_gemma":[0.01598079,0.0001665861,0.000622934,0.01006562,0.004927839,0.001815285,0.003480966,0.001895848,0.0003610188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08510224,"about_ca_system_score_gemma":0.08497605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657576,"about_ca_topic_score_gemma":0.9841607,"domain_scores_codex":[0.9928237,0.00108973,0.0001035858,0.0002551473,0.003077254,0.002650667],"domain_scores_gemma":[0.9906877,0.002204706,0.0008237754,0.0002167744,0.00404276,0.002024404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006375958,0.0006292043,0.3392789,0.0004562266,0.0001493391,0.0007092121,0.05005531,0.002272116,0.0003838876,0.4244642,0.05416225,0.1268018],"study_design_scores_gemma":[0.00009638914,0.0002184299,0.7849577,0.0004204986,0.000194025,0.0001356006,0.09973579,0.001992034,0.0002014421,0.006348717,0.1056236,0.00007585277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6494703,0.002932407,0.0003373342,0.009571161,0.0001282068,0.0002422501,0.001161777,0.00001922527,0.3361373],"genre_scores_gemma":[0.9831503,0.001360787,0.0002314594,0.0009518241,0.00004573499,0.0000638317,0.0005307251,0.00001471326,0.01365066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08510224,"threshold_uncertainty_score":0.6174629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493532441138717,"score_gpt":0.2960029524718661,"score_spread":0.2710676280604789,"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."}}