{"id":"W7019960058","doi":"","title":"Immigration Systems in Transition: Lessons for U.S. Immigration Reform from Australia and Canada","year":2020,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Bureaucracy; Immigration policy; Politics; Immigration reform; Political system","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":[0.005108465,0.0004729847,0.0006853303,0.00278712,0.02425683,0.01127571,0.002521733,0.003476887,0.007105566],"category_scores_gemma":[0.01144958,0.0003688255,0.00107857,0.004736256,0.007304323,0.00394335,0.007869793,0.008552712,0.0003918151],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1848547,"about_ca_system_score_gemma":0.4856228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959075,"about_ca_topic_score_gemma":0.9973139,"domain_scores_codex":[0.9909765,0.0009327575,0.0002204277,0.0002803422,0.001911437,0.005678636],"domain_scores_gemma":[0.986709,0.001003596,0.0002716493,0.0002628314,0.004896206,0.00685676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002555514,0.000592423,0.03965465,0.001065624,0.0001252531,0.00217575,0.08115202,0.00287272,0.0005370717,0.2675816,0.3517394,0.252248],"study_design_scores_gemma":[0.0001550642,0.0002083931,0.1773187,0.003426376,0.0002197178,0.0003281406,0.1911979,0.001689956,0.0004371609,0.02176142,0.6030172,0.0002399522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1787135,0.03724416,0.0006202967,0.517596,0.00276192,0.0005478128,0.001095217,0.0001047907,0.2613163],"genre_scores_gemma":[0.8254459,0.04133107,0.00280717,0.07160294,0.0005263499,0.0003813744,0.001190435,0.00008823621,0.05662656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1848547,"threshold_uncertainty_score":0.945453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04582508299270378,"score_gpt":0.308743050405749,"score_spread":0.2629179674130452,"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."}}