{"id":"W6976546140","doi":"10.6068/dp14ba85cd02271","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: Spain, 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":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005703562,0.0003793201,0.000443512,0.00009461838,0.0002644046,0.0001037351,0.0005577079,0.0004382499,0.0002593866],"category_scores_gemma":[0.0001222817,0.0003769184,2.004258e-7,0.00009639554,0.0003845817,0.00003508317,0.000616716,0.0003461213,0.000002501657],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146125,"about_ca_system_score_gemma":0.01729212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996036,"about_ca_topic_score_gemma":0.9994127,"domain_scores_codex":[0.9974406,0.0001801862,0.0005182413,0.0006233778,0.0007133124,0.0005242405],"domain_scores_gemma":[0.9978603,0.0001134481,0.0003373567,0.000787669,0.0001523205,0.0007489003],"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":[0.00003621917,0.00003697515,0.0004454672,0.0004174631,0.0001863608,0.0000146821,0.00001882148,8.867548e-7,0.00003318995,0.00004042425,0.9977244,0.001045135],"study_design_scores_gemma":[0.0004817271,0.0001740812,0.000213222,0.00002732488,0.0001597909,0.0000535998,0.0007938913,0.0002529759,4.517887e-7,5.476184e-7,0.99743,0.0004123334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001597995,0.01232362,0.000008301,0.000006453762,0.0003272367,0.0004235426,0.9864259,0.000007627919,0.000317545],"genre_scores_gemma":[0.0009307524,0.01509368,0.0001004872,0.0002871646,0.0001106741,0.000004419436,0.9817878,0.00004616515,0.001638874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01714599,"threshold_uncertainty_score":0.9998683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482517113681739,"score_gpt":0.2634296159023636,"score_spread":0.2386044447655462,"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."}}