{"id":"W6976694522","doi":"10.6068/dp14ba85a383825","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: 15 years and over, Asia, Employment, Females, 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":"Health, Education, and Aging","field":"Social Sciences","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":[0.002869227,0.002446844,0.002810843,0.008305462,0.003860421,0.004966091,0.005719721,0.001401641,0.08096023],"category_scores_gemma":[0.02008662,0.001930729,0.002504303,0.03788554,0.0006631157,0.002338411,0.002714217,0.003113069,0.03963661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05856992,"about_ca_system_score_gemma":0.1611114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965366,"about_ca_topic_score_gemma":0.9952761,"domain_scores_codex":[0.9951504,0.0003677664,0.0005641879,0.0005237017,0.002197649,0.001196206],"domain_scores_gemma":[0.9640979,0.001285478,0.001066573,0.00105276,0.03054066,0.001956719],"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":[0.0000302896,0.000008418765,0.001600569,0.0002963288,0.00002862452,0.000007767455,0.00003822699,0.0001010536,0.00001108366,0.0003892367,0.9952656,0.002222918],"study_design_scores_gemma":[0.0002288633,0.00002049676,0.04657481,0.001448848,0.0001212468,0.00003983029,0.0009373149,0.0006189764,0.0002334919,0.0008035547,0.9488397,0.0001327661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008616871,0.00006804172,0.00003188072,0.0001609366,0.00003940252,0.00002541067,0.998542,0.00006228438,0.0009839275],"genre_scores_gemma":[0.00138766,0.0004525223,0.0006599506,0.0002547311,0.00002707098,0.0002499406,0.9907691,0.0001485888,0.006050405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08096023,"threshold_uncertainty_score":0.4249565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03608263789713881,"score_gpt":0.2875188362079106,"score_spread":0.2514361983107718,"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."}}