{"id":"W2586395583","doi":"10.11575/prism/30124","title":"Express Entry as a Hybird Model of Economic Immigration Policy: Lessons from Australia's SkillSelect","year":2016,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Political science; Deportation; Law","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":[0.005122572,0.0004212204,0.0006151503,0.0005329425,0.002061575,0.005190073,0.001634885,0.001796814,0.00766807],"category_scores_gemma":[0.008508977,0.0004024421,0.0008555582,0.0006345584,0.003884707,0.00310185,0.003787846,0.004147463,0.0008642787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009550464,"about_ca_system_score_gemma":0.008969846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1622939,"about_ca_topic_score_gemma":0.1442302,"domain_scores_codex":[0.9964622,0.002134929,0.00007523469,0.0003282101,0.0004645494,0.0005348889],"domain_scores_gemma":[0.9959258,0.001931145,0.0004664083,0.0003259171,0.0006743665,0.0006763787],"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":[0.0001297885,0.0002931639,0.01603302,0.00009886109,0.00004184821,0.0005632517,0.007027166,0.04942093,0.0003374038,0.8881854,0.00558741,0.03228171],"study_design_scores_gemma":[0.000198839,0.0007693019,0.03450821,0.0003931612,0.0001001189,0.0003123156,0.01433826,0.4420063,0.0004896876,0.4007502,0.1059585,0.000175254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5435274,0.001142427,0.08949165,0.03780369,0.0002808936,0.0005210701,0.0003190663,0.0001612863,0.3267526],"genre_scores_gemma":[0.9284847,0.0006237933,0.01212492,0.001093867,0.0000599788,0.0001822172,0.000086326,0.00004444317,0.05729974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8377061,"threshold_uncertainty_score":0.3226985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343704321526904,"score_gpt":0.2659195237429273,"score_spread":0.2424824805276583,"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."}}