{"id":"W6957941184","doi":"10.6068/dp14ba84bf6c958","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: Barbados, Total, immigration status, Females, College | 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; 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":[0.002410411,0.002379218,0.002823432,0.008534504,0.003660332,0.005104705,0.005445558,0.001509507,0.08102685],"category_scores_gemma":[0.01970036,0.001807967,0.0023702,0.03844456,0.0006609185,0.002583072,0.002441354,0.003146568,0.04720133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05319351,"about_ca_system_score_gemma":0.1465787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949865,"about_ca_topic_score_gemma":0.9930792,"domain_scores_codex":[0.9952959,0.0003131614,0.0005250999,0.0005879953,0.00217861,0.00109908],"domain_scores_gemma":[0.9643335,0.001255159,0.001068635,0.001118067,0.03056716,0.001657412],"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":[0.00002915152,0.000006909067,0.001338469,0.0002583838,0.00002540116,0.000007634931,0.00002501049,0.0001195327,0.00001068646,0.0003976781,0.9959868,0.001794427],"study_design_scores_gemma":[0.0001768219,0.00001417028,0.02820756,0.001082337,0.00009281719,0.00003203345,0.0005667406,0.0005404867,0.0002043181,0.0007630236,0.9682153,0.0001043937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005894874,0.00005394057,0.00002800969,0.000142529,0.00003318894,0.00001567664,0.9987664,0.00005954477,0.000841846],"genre_scores_gemma":[0.0009503242,0.0003247365,0.0004579411,0.000186717,0.00002134885,0.0001328903,0.9937881,0.0001280529,0.004009828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08102685,"threshold_uncertainty_score":0.3859477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441965924725808,"score_gpt":0.2437728991177777,"score_spread":0.2193532398705197,"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."}}