{"id":"W6901566382","doi":"10.6068/dp14ba82d907174","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: Iran, International Students, Males, College | 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; Statistics education; Population; 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":[0.002395166,0.00240672,0.002876396,0.008131125,0.003475919,0.005163386,0.005327238,0.001637633,0.086156],"category_scores_gemma":[0.02029027,0.001782951,0.002446169,0.03791293,0.0006597158,0.002694248,0.002468382,0.003278971,0.05343783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04631897,"about_ca_system_score_gemma":0.1323522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931207,"about_ca_topic_score_gemma":0.9902537,"domain_scores_codex":[0.995297,0.0003442267,0.0005170759,0.0006009209,0.002145502,0.001095299],"domain_scores_gemma":[0.9657561,0.001344909,0.001043683,0.001125579,0.02913139,0.001598286],"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":[0.000026835,0.000006730994,0.001095565,0.0002439475,0.00002364159,0.000007028155,0.00002071106,0.000109202,0.00000916925,0.0003539193,0.9964844,0.001618837],"study_design_scores_gemma":[0.0001786594,0.00001310221,0.0223198,0.001039531,0.000085385,0.0000312653,0.0005017556,0.0005339826,0.000188167,0.0007657108,0.9742435,0.0000991175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004918125,0.00005043891,0.00002500324,0.0001411545,0.00003292229,0.00001434805,0.9988346,0.00005700687,0.0007954419],"genre_scores_gemma":[0.0007887975,0.0003017618,0.0004195457,0.0001867367,0.0000215279,0.0001297999,0.9943888,0.0001256317,0.003637484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.086156,"threshold_uncertainty_score":0.3360692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522262332719449,"score_gpt":0.2585363329723169,"score_spread":0.2333137096451224,"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."}}