{"id":"W6957907973","doi":"10.6068/dp14ba83c555187","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Taiwan, International Students, Males, University | Units: #, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Citizenship; Population; Statistics education; Socioeconomic status; Ethnic group; Official statistics","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":[0.002455178,0.00244512,0.002947135,0.008328024,0.003452017,0.005156846,0.005350232,0.001656649,0.08568469],"category_scores_gemma":[0.0207713,0.001825751,0.00250491,0.03879289,0.0006656221,0.002723559,0.002463046,0.003303455,0.05229209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04726011,"about_ca_system_score_gemma":0.1356114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931966,"about_ca_topic_score_gemma":0.9901577,"domain_scores_codex":[0.9951989,0.000354795,0.0005437654,0.0006199777,0.002166557,0.001116039],"domain_scores_gemma":[0.9652621,0.001373024,0.00108917,0.001141603,0.0295146,0.001619512],"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":[0.00002818474,0.000006868718,0.001142541,0.0002620487,0.00002560683,0.000007289954,0.00002140778,0.0001157137,0.000009434657,0.0003683946,0.9963642,0.001648419],"study_design_scores_gemma":[0.0001864569,0.00001349647,0.02314061,0.001086469,0.00008974996,0.00003193618,0.000500402,0.0005460943,0.0001924566,0.0007763183,0.9733324,0.0001035713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004870749,0.00005226572,0.00002505593,0.0001383168,0.00003332,0.00001438997,0.9988632,0.00005585226,0.0007689352],"genre_scores_gemma":[0.000802325,0.0003085646,0.0004181625,0.0001822343,0.00002189256,0.0001320143,0.9944676,0.0001247333,0.0035424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08568469,"threshold_uncertainty_score":0.3428977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082349208554949,"score_gpt":0.2456908621882549,"score_spread":0.2248673701027054,"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."}}