{"id":"W6957802237","doi":"10.6068/dp14ba8adf9cb33","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Population, High school graduate, Males, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Socioeconomic status; Population; Official statistics; Ethnic group; Population statistics; Diversity (politics); American Community Survey","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":[0.002538678,0.002384183,0.002883803,0.007191704,0.003274424,0.0047243,0.005442441,0.001384457,0.08746073],"category_scores_gemma":[0.01875827,0.001965966,0.002264641,0.0347826,0.0005957664,0.002374615,0.002332157,0.003297278,0.04641884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04840877,"about_ca_system_score_gemma":0.1338665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99443,"about_ca_topic_score_gemma":0.9922707,"domain_scores_codex":[0.9956858,0.0003193489,0.0005177857,0.0005398173,0.001917997,0.001019261],"domain_scores_gemma":[0.9670405,0.001172727,0.001034151,0.000941276,0.02812902,0.001682236],"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":[0.00003311054,0.00000856605,0.001416709,0.0002704352,0.0000244719,0.000007312703,0.0000286049,0.00009783488,0.0000108019,0.0003101684,0.9958599,0.00193206],"study_design_scores_gemma":[0.0002876894,0.00002125056,0.04349412,0.001454484,0.0001112541,0.00003969347,0.0007151949,0.000585151,0.000218973,0.0008206117,0.9521388,0.0001127758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007344108,0.00005349203,0.00002895837,0.0001378417,0.00003703808,0.00002393601,0.9986826,0.00005706651,0.0009056839],"genre_scores_gemma":[0.001081249,0.0003660378,0.0005379621,0.0002310935,0.00002600447,0.0002156307,0.9920146,0.0001376346,0.005389717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08746073,"threshold_uncertainty_score":0.3512318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437611010714942,"score_gpt":0.2564591819744407,"score_spread":0.2320830718672913,"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."}}