{"id":"W3127755419","doi":"10.51593/20190024","title":"Immigration Policy and the Global Competition for AI Talent","year":2020,"lang":"en","type":"report","venue":"","topic":"Information Systems Education and Curriculum Development","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Competition (biology); Immigration policy; Competition policy; Political science; International trade; Economic growth; Business; Economics; 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":[0.000592668,0.0001510685,0.0002155664,0.00006028161,0.0001794213,0.0003980122,0.0003170654,0.00009190605,0.00001367804],"category_scores_gemma":[0.0001215521,0.00009494706,0.00008799259,0.0002836141,0.00003750372,0.0002635783,0.0001133596,0.00007720698,0.00004964607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004416996,"about_ca_system_score_gemma":0.002138106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002981949,"about_ca_topic_score_gemma":0.00005817324,"domain_scores_codex":[0.9986011,0.00004440851,0.0004700668,0.0002166111,0.0005324349,0.0001353224],"domain_scores_gemma":[0.9987716,0.00004336735,0.0003004337,0.0002281393,0.00058157,0.00007489825],"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":[0.000003074468,0.000007188226,0.00003152863,0.00009859386,0.00002134153,7.924549e-8,0.0008681201,0.000001663247,1.106501e-7,0.9202699,0.06944454,0.009253845],"study_design_scores_gemma":[0.0005184085,0.00001782373,0.0007026961,0.00004443037,0.000009078322,0.00007636727,0.0002554399,0.005272115,0.000008022029,0.004271892,0.9886518,0.00017192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00001156962,0.0001152338,0.7935544,0.04724721,0.001637685,0.0009968271,0.00002441745,0.0001141713,0.1562985],"genre_scores_gemma":[0.7848825,0.003262564,0.06500771,0.07173809,0.009823645,0.004661798,0.002543939,0.00007046949,0.05800923],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9192073,"threshold_uncertainty_score":0.3871828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933047203107117,"score_gpt":0.3101064419273794,"score_spread":0.2907759698963082,"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."}}