{"id":"W6939542875","doi":"10.6068/dp14ba84befc755","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: Japan, International Students, Both sexes, 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":[0.00247742,0.002400011,0.002881272,0.008536215,0.003737612,0.00521563,0.005409231,0.001663432,0.08540099],"category_scores_gemma":[0.02104164,0.00179803,0.002449983,0.03868828,0.000666299,0.002690785,0.002533137,0.003285711,0.05018164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05052277,"about_ca_system_score_gemma":0.1431966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943359,"about_ca_topic_score_gemma":0.9918895,"domain_scores_codex":[0.9951854,0.0003439675,0.0005389184,0.0006095225,0.002214027,0.001108176],"domain_scores_gemma":[0.9633892,0.001380445,0.001081389,0.001148988,0.03130975,0.001690297],"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":[0.00002799468,0.000006905005,0.001208194,0.00025908,0.00002495872,0.000007401097,0.00002377734,0.0001126447,0.000009677812,0.000383678,0.9961988,0.001736858],"study_design_scores_gemma":[0.0001775534,0.00001329692,0.02429281,0.001068603,0.00008934053,0.00003101482,0.000543872,0.0005281276,0.0001887811,0.0007808104,0.9721817,0.0001040648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005490233,0.00005421516,0.00002792783,0.0001519183,0.00003548204,0.00001585209,0.9987514,0.00006020211,0.0008480835],"genre_scores_gemma":[0.0008828227,0.0003288212,0.0004650993,0.0002011227,0.00002298829,0.0001424678,0.9939029,0.0001317885,0.003922036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08540099,"threshold_uncertainty_score":0.3665701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197499417769194,"score_gpt":0.2448187793804831,"score_spread":0.2250688376035637,"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."}}