{"id":"W6939246945","doi":"10.6068/dp14ba83287e848","title":"Most Recent Data (2000). 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: United Kingdom, Not reported, Females, College | Units: #, 2000. 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; Statistics education; Population; Citizenship; 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":[0.002816195,0.002472575,0.002844651,0.008439783,0.003795833,0.005342286,0.005330954,0.001703532,0.1066249],"category_scores_gemma":[0.02610167,0.001819048,0.002221065,0.04572709,0.0007685741,0.002628815,0.002533425,0.003377065,0.06917547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05650117,"about_ca_system_score_gemma":0.1502334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939938,"about_ca_topic_score_gemma":0.9913657,"domain_scores_codex":[0.9944744,0.0003663839,0.000614526,0.0006467493,0.002647779,0.001250145],"domain_scores_gemma":[0.9499488,0.002248861,0.001335086,0.001498875,0.04270141,0.002266794],"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":[0.00002069839,0.000006527993,0.0008029293,0.0002188607,0.00001481073,0.000005420336,0.00001867431,0.00008612815,0.000007644643,0.0002423163,0.9973488,0.00122729],"study_design_scores_gemma":[0.0001982759,0.00001211242,0.02422935,0.0009779922,0.00007225998,0.00002307364,0.0004862756,0.0003465035,0.0001632383,0.0006302414,0.9727624,0.00009821791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000361811,0.00003682929,0.00001550476,0.0001048616,0.00002250402,0.00001142605,0.9990382,0.0000443975,0.0006901644],"genre_scores_gemma":[0.0006758683,0.0002362275,0.0003731792,0.0001831984,0.00001732699,0.0001255416,0.9948336,0.0001045033,0.003450599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1066249,"threshold_uncertainty_score":0.4099466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05224698134572577,"score_gpt":0.2685211207290562,"score_spread":0.2162741393833304,"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."}}