{"id":"W2914246186","doi":"10.2298/zmsdn1867627p","title":"Attracting and retaining highly educated individuals: Two examples of immigration policies","year":2018,"lang":"en","type":"article","venue":"Zbornik Matice srpske za drustvene nauke","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Immigration policy; Human capital; Population; Political science; Economic growth; Development economics; Business; Demographic economics; Economics; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00163505,0.0001712294,0.000277176,0.0002068428,0.0006681842,0.0001758515,0.0002309423,0.0001274269,0.0002324746],"category_scores_gemma":[0.001164555,0.0001697291,0.00004928637,0.0006437059,0.000471472,0.00041542,0.00006155788,0.0001622781,0.00003094354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007188448,"about_ca_system_score_gemma":0.0002698792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006600304,"about_ca_topic_score_gemma":0.0149003,"domain_scores_codex":[0.9980338,0.0003672495,0.0005076689,0.0002579878,0.0004670405,0.0003662644],"domain_scores_gemma":[0.9982222,0.000550453,0.0004779333,0.0002264358,0.0003831507,0.0001397814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005217767,0.0002480668,0.1124401,0.000192514,0.0001622728,0.000002229117,0.4912578,0.00007461468,0.008567124,0.3511925,0.002783202,0.03302743],"study_design_scores_gemma":[0.002605871,0.0005086234,0.1472984,0.0007756743,0.0005507813,0.00001635267,0.5460771,0.008367224,0.009496508,0.008595994,0.2739101,0.001797333],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809062,0.0001551956,0.0005991877,0.001651036,0.0002543522,0.0002566804,0.00003776665,0.0001114144,0.01602817],"genre_scores_gemma":[0.994155,0.000159177,0.003731503,0.0003094612,0.0004736723,0.00001235788,0.00003663836,0.00002120607,0.001100987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3425965,"threshold_uncertainty_score":0.9977729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206961971388345,"score_gpt":0.3446962360387512,"score_spread":0.3126266163248677,"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."}}