{"id":"W6939051055","doi":"10.6068/dp14ba870eb6c45","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, Asia, Not in labour force, 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":"","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":[0.002619904,0.002457096,0.00277484,0.008268419,0.003500212,0.004851739,0.00557784,0.001395116,0.07728002],"category_scores_gemma":[0.01951517,0.001881454,0.002252834,0.03749391,0.0006650562,0.002228232,0.00275479,0.003012902,0.0405481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05134339,"about_ca_system_score_gemma":0.1345071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953999,"about_ca_topic_score_gemma":0.9939989,"domain_scores_codex":[0.9957047,0.0003387176,0.0005064939,0.0004956799,0.00188974,0.001064582],"domain_scores_gemma":[0.968048,0.001321666,0.00110682,0.001063935,0.02659062,0.00186899],"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":[0.0000260689,0.000007516426,0.001382194,0.000240479,0.00002450012,0.000006848968,0.00003212921,0.0001013508,0.000009195241,0.0003402668,0.9961435,0.001685881],"study_design_scores_gemma":[0.0002331362,0.00001795687,0.04013361,0.001214455,0.00009756724,0.00003650619,0.0008179881,0.0006438802,0.0002171546,0.000790124,0.9556769,0.0001207794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007006401,0.00004521999,0.00002453146,0.0001203159,0.00002810138,0.00001769517,0.9989742,0.000052356,0.0006676144],"genre_scores_gemma":[0.0009635906,0.0002731664,0.0004305783,0.0001620586,0.00001917297,0.000178668,0.9938372,0.0001072125,0.004028323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07728002,"threshold_uncertainty_score":0.372524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892347195607643,"score_gpt":0.2542420492938118,"score_spread":0.2253185773377354,"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."}}