{"id":"W2510952720","doi":"","title":"Australia's Experiment with Two-Step Student Migration","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bachelor; Incentive; Context (archaeology); Government (linguistics); Face (sociological concept); Political science; Demographic economics; Labour economics; Economics; Sociology; Geography; Market economy","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":[0.008384064,0.0002599586,0.0004113476,0.0003830005,0.008880206,0.00314899,0.001253459,0.001739797,0.0126146],"category_scores_gemma":[0.009903084,0.000326687,0.0004530203,0.0006786967,0.002720982,0.002204635,0.005778008,0.004118412,0.002259239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005028383,"about_ca_system_score_gemma":0.01105258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1367215,"about_ca_topic_score_gemma":0.2688392,"domain_scores_codex":[0.9950768,0.00281514,0.00009274984,0.0003449983,0.0008209774,0.0008492446],"domain_scores_gemma":[0.9916557,0.001464224,0.000290884,0.0009365787,0.001364663,0.004287905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005781671,0.02835388,0.07069711,0.0006419312,0.0001453832,0.00228304,0.2464702,0.002070212,0.007105198,0.1521644,0.1761028,0.3081842],"study_design_scores_gemma":[0.00156291,0.01224936,0.1727783,0.0003460478,0.0001023819,0.0004026371,0.08661743,0.00604698,0.002894651,0.03159984,0.6851032,0.000296288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878536,0.0001977987,0.001244973,0.02286215,0.0005953343,0.0004447868,0.000234926,0.00008337262,0.08648312],"genre_scores_gemma":[0.887184,0.0003620723,0.002863283,0.008043561,0.0001257242,0.0007381084,0.0001743167,0.00005759064,0.1004514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367215,"threshold_uncertainty_score":0.2718514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347395321368794,"score_gpt":0.328664985238075,"score_spread":0.3151910320243871,"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."}}