{"id":"W3123304839","doi":"","title":"Comparing Outcomes: The Relative Job-Market Performance of Former International Students","year":2018,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Margin (machine learning); Pace; Demographic economics; Political science; Revenue; Business; Economics; Geography; Accounting","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":[0.00147406,0.0004393562,0.0003595278,0.002498406,0.00192613,0.002414731,0.0008035413,0.0005867321,0.003910811],"category_scores_gemma":[0.003330617,0.0000996766,0.0003878193,0.002728969,0.00100466,0.000774261,0.001761224,0.0008720368,0.000993069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004348032,"about_ca_system_score_gemma":0.00566722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7235978,"about_ca_topic_score_gemma":0.8631865,"domain_scores_codex":[0.9987246,0.00008106628,0.00003952871,0.0001430998,0.0003857429,0.0006258576],"domain_scores_gemma":[0.996003,0.0002016941,0.0007193852,0.0001428218,0.001226165,0.001706898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002039565,0.0001223306,0.979117,0.00004097869,0.00006331354,0.00006361368,0.002652273,0.0003077854,0.0004329952,0.0007217014,0.001813638,0.01446046],"study_design_scores_gemma":[0.000003631933,0.00006796111,0.9961411,0.00001067234,0.0000124556,0.00001416074,0.002390329,0.00009789367,0.0001461947,0.00005432125,0.001051752,0.000009526873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9886315,0.0002137593,0.00008961384,0.0001778103,0.0000146082,0.00002502848,0.001484448,0.000006612631,0.009356511],"genre_scores_gemma":[0.9955178,0.0001160399,0.0000686472,0.00005452141,0.000009815722,0.000008624697,0.001509382,0.00000488851,0.002710337],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7235978,"threshold_uncertainty_score":0.5560599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743572652157851,"score_gpt":0.3473589666057975,"score_spread":0.309923240084219,"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."}}