{"id":"W6939173517","doi":"10.6068/dp14ba869a99e71","title":"Trend 1999 - 2003. 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: South America, Not reported, Females, Total, institution type | Units: #, 1999-2003. 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; Population 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":[0.0009010795,0.0009517749,0.00129122,0.0002237486,0.0005520956,0.0002538344,0.0006874542,0.0005576975,0.0004534526],"category_scores_gemma":[0.0008141699,0.001025575,1.640479e-7,0.001583427,0.0007634761,0.0005852057,0.0007502381,0.0008886838,0.000007570607],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000564279,"about_ca_system_score_gemma":0.04409614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996372,"about_ca_topic_score_gemma":0.997089,"domain_scores_codex":[0.994208,0.0005912508,0.001310073,0.001618661,0.001403995,0.0008680687],"domain_scores_gemma":[0.9942021,0.0003871615,0.001977443,0.00190923,0.0006958434,0.000828272],"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":[0.0001636033,0.00009136999,0.0004199883,0.0006372448,0.0004834303,0.0001319019,0.00007861324,0.00000908598,0.0000178098,0.0003097309,0.9972174,0.000439822],"study_design_scores_gemma":[0.0009736073,0.0001476069,0.000185859,0.00009848423,0.001021314,0.0004057584,0.002145383,0.001451331,1.072348e-7,4.19546e-7,0.9925089,0.001061233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004536247,0.011268,0.00001576015,0.000002126218,0.0006942124,0.0009918096,0.9863701,0.00008096248,0.0005316786],"genre_scores_gemma":[0.0003784503,0.003994762,0.0003518561,0.0002776079,0.0001321918,0.0000137946,0.9929268,0.0002387712,0.001685818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04353186,"threshold_uncertainty_score":0.9992195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459889207572073,"score_gpt":0.2543986478166226,"score_spread":0.2197997557409019,"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."}}