{"id":"W6976452432","doi":"10.6068/dp14ba860859a22","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: Latvia, Canadian students, Females, Total, institution type | 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":[0.002540866,0.002438057,0.002904173,0.008688043,0.003543817,0.005187404,0.00553622,0.001612634,0.08459166],"category_scores_gemma":[0.02082504,0.00187096,0.002416878,0.04002517,0.0006771223,0.002734403,0.002498219,0.003258521,0.05055352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05108625,"about_ca_system_score_gemma":0.1470633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938551,"about_ca_topic_score_gemma":0.9912961,"domain_scores_codex":[0.9950805,0.0003341145,0.0005491751,0.0006109682,0.00229502,0.001130282],"domain_scores_gemma":[0.9610595,0.001382619,0.00117559,0.00117562,0.03342881,0.001777907],"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":[0.00002791049,0.000007100514,0.001234243,0.0002581354,0.00002473973,0.000006983381,0.00002251363,0.0001120339,0.00001012639,0.0003564236,0.9962834,0.001656327],"study_design_scores_gemma":[0.0001856257,0.00001414312,0.02691792,0.001163772,0.0000916423,0.00003095384,0.0005349048,0.0005021915,0.0002037681,0.0007321257,0.9695202,0.0001027139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000533741,0.00004946094,0.00002479824,0.0001354475,0.00003223898,0.00001557314,0.9988376,0.00005674431,0.0007947968],"genre_scores_gemma":[0.0008130215,0.0003074084,0.0004188434,0.0001814307,0.00002135688,0.0001395448,0.9941562,0.0001238197,0.003838337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08459166,"threshold_uncertainty_score":0.3706585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910950494842051,"score_gpt":0.2569105229417115,"score_spread":0.227801017993291,"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."}}