{"id":"W6939356435","doi":"10.6068/dp14ba89755fb54","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, sex and detailed age group | Variable: 15 to 24 years, Labour force, Females, Immigrants, landed 5 or less years earlier | 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; Economic statistics; Population; Ethnic group; Citizenship; Diversity (politics); Social 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":[0.002823809,0.002485661,0.002794824,0.008576954,0.003838599,0.004906435,0.005715378,0.001393785,0.08232705],"category_scores_gemma":[0.02038421,0.001899733,0.002453726,0.0380264,0.0006719125,0.00226587,0.00270688,0.003012462,0.04025661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06019356,"about_ca_system_score_gemma":0.1573324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967251,"about_ca_topic_score_gemma":0.9955714,"domain_scores_codex":[0.995237,0.0003517408,0.0005536985,0.0005338554,0.002156993,0.00116668],"domain_scores_gemma":[0.964869,0.001282736,0.001095666,0.00107289,0.0297139,0.001965738],"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":[0.00002949232,0.000008057057,0.001532608,0.0002863934,0.00002792317,0.000007549303,0.00003838298,0.000104183,0.00001133314,0.0003994705,0.9954412,0.002113575],"study_design_scores_gemma":[0.0002247652,0.00002021771,0.04511573,0.001319612,0.0001141694,0.00003799042,0.000892712,0.0006202707,0.0002292108,0.0007930993,0.9504998,0.0001323853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008239631,0.00006169616,0.00003264453,0.0001480101,0.00003677492,0.0000242971,0.9986419,0.00006328387,0.0009090838],"genre_scores_gemma":[0.001320794,0.0004051123,0.0006335787,0.0002262125,0.00002498385,0.0002296943,0.9913155,0.0001419682,0.005702211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08232705,"threshold_uncertainty_score":0.4367369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851184356375986,"score_gpt":0.2581691970639947,"score_spread":0.2196573535002349,"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."}}