{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002647971,0.00246184,0.002854067,0.008596525,0.003361994,0.005043004,0.00583374,0.001520731,0.08887267],"category_scores_gemma":[0.02061352,0.001870643,0.002300752,0.04046473,0.0006565549,0.002596066,0.002384702,0.003142909,0.05292003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05225411,"about_ca_system_score_gemma":0.1481459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939383,"about_ca_topic_score_gemma":0.990812,"domain_scores_codex":[0.9952257,0.0003364766,0.0005450414,0.0005877083,0.002208903,0.001096082],"domain_scores_gemma":[0.9612298,0.001419485,0.001229559,0.00122043,0.03305877,0.001842041],"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":[0.00002857848,0.000007042048,0.001123452,0.0002293667,0.00002177763,0.000006562733,0.00002144495,0.000105718,0.000009441651,0.000333839,0.9965268,0.001585952],"study_design_scores_gemma":[0.0001965747,0.00001379212,0.02649225,0.001064184,0.00008028097,0.00002848862,0.0005141651,0.0005027744,0.0001948175,0.0007473385,0.9700706,0.00009465167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004980478,0.00004106205,0.00002393553,0.0001269758,0.00003014692,0.00001607598,0.998836,0.00005937715,0.000816669],"genre_scores_gemma":[0.0008113252,0.0002700638,0.0004291527,0.0001784573,0.00001980585,0.0001504055,0.9938845,0.0001325585,0.004123673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08887267,"threshold_uncertainty_score":0.3791319,"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."}}