{"id":"W6901489681","doi":"10.6068/dp14ba87b33304","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 25 to 54 years, North America, Employment rate, Males, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-093.","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; Official statistics; Socioeconomic status; Census; Population; Economic statistics; Ethnic group; Citizenship; Diversity (politics); 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":[0.002769403,0.002461027,0.002797393,0.008535416,0.003775006,0.004927654,0.005760378,0.001387408,0.07980228],"category_scores_gemma":[0.02025888,0.001869967,0.002471638,0.03790713,0.0006559895,0.00223457,0.002719698,0.002980243,0.03977529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05746971,"about_ca_system_score_gemma":0.1515246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996411,"about_ca_topic_score_gemma":0.9952355,"domain_scores_codex":[0.9953754,0.0003495517,0.0005406332,0.0005196034,0.00207751,0.001137317],"domain_scores_gemma":[0.9655817,0.001290332,0.001089133,0.001061642,0.02905698,0.001920207],"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":[0.00002932872,0.000007790147,0.001491716,0.000280049,0.00002860561,0.000007572181,0.00003696732,0.0001031475,0.0000110698,0.0003870671,0.9956053,0.002011457],"study_design_scores_gemma":[0.0002369947,0.00001966962,0.04326729,0.001329308,0.0001188816,0.00003895689,0.0008701051,0.0006216984,0.0002293479,0.0008122275,0.9523234,0.0001321882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007860687,0.00005932686,0.00003010524,0.0001424129,0.00003428906,0.00002284959,0.9987356,0.00006147711,0.0008352278],"genre_scores_gemma":[0.001200502,0.0003721066,0.0005921957,0.0002133532,0.0000237785,0.0002187518,0.9922953,0.0001338691,0.004950272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07980228,"threshold_uncertainty_score":0.4169739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460237375011431,"score_gpt":0.2459892286678713,"score_spread":0.221386854917757,"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."}}