{"id":"W6901477621","doi":"10.6068/dp17148c3017799","title":"TREND: United States Department of Homeland Security. Nonimmigrant Admissions: Nonimmigrant Admissions by Class of Admission | Admission Class: Temporary workers and families, 2006 - 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 032-008-001","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residence; Immigration; Government (linguistics); Official statistics; Homeland security; Homeland","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":[0.001064413,0.001530422,0.001355677,0.004446359,0.0008033246,0.002402207,0.002560345,0.001030798,0.06814461],"category_scores_gemma":[0.01074156,0.000883433,0.001135251,0.01192846,0.000304009,0.002637456,0.00200837,0.002484653,0.06863735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207792,"about_ca_system_score_gemma":0.004338518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.105751,"about_ca_topic_score_gemma":0.09455343,"domain_scores_codex":[0.9985464,0.000167883,0.0003155568,0.0003411919,0.000407286,0.0002215551],"domain_scores_gemma":[0.9928138,0.0007634572,0.00123026,0.0005812811,0.004069342,0.000541948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004221429,0.00001522767,0.002971541,0.000215992,0.00002010988,0.000009360646,0.00002325373,0.00007090259,0.00001636335,0.0002449955,0.9945157,0.001854234],"study_design_scores_gemma":[0.0003663192,0.00005701084,0.06133775,0.001289684,0.00007334815,0.00006476706,0.0007983068,0.0005144146,0.0002400722,0.00120813,0.9339774,0.00007272629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002046619,0.00002582989,0.00003020592,0.00009555861,0.00004872462,0.00001967384,0.9988019,0.0000635109,0.0007099177],"genre_scores_gemma":[0.0008968595,0.0001041792,0.0001562968,0.0001006401,0.00003482399,0.0002271073,0.9966186,0.0000590852,0.001802244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.105751,"threshold_uncertainty_score":0.2279665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536242234095367,"score_gpt":0.2717055391039758,"score_spread":0.2463431167630221,"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."}}