{"id":"W6939201846","doi":"10.6068/dp14ba8bf0d2157","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, country of birth, sex and age group | Variable: 15 years and over, Total population, Not in labour force, Both sexes, Born in Canada | 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; Diversity (politics); Population statistics; 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":[0.002726097,0.002384165,0.002875693,0.007600818,0.003421874,0.004773249,0.005408693,0.00137613,0.08588537],"category_scores_gemma":[0.01984435,0.002030898,0.002337325,0.03563574,0.0006165366,0.002383532,0.002365045,0.003431797,0.042011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05608126,"about_ca_system_score_gemma":0.1558228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954178,"about_ca_topic_score_gemma":0.9934325,"domain_scores_codex":[0.9952814,0.0003491848,0.000578484,0.0005666889,0.002139766,0.001084409],"domain_scores_gemma":[0.9630987,0.001250639,0.001113383,0.0009515192,0.03174099,0.001844656],"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":[0.000035924,0.0000095013,0.001522381,0.0002950093,0.00002731422,0.000007876884,0.00003061248,0.0001013165,0.00001141028,0.0003362487,0.9953164,0.002305973],"study_design_scores_gemma":[0.0002857518,0.00002297069,0.05035228,0.001614069,0.0001273499,0.00004324485,0.0007693874,0.0005733464,0.0002234173,0.0008321942,0.945033,0.0001231322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009139,0.00007339843,0.00003477521,0.0001783486,0.00004877839,0.00003098734,0.998334,0.00006413444,0.001144201],"genre_scores_gemma":[0.001376624,0.0005029778,0.0006608943,0.0003112406,0.00003341286,0.0002725725,0.989563,0.0001630524,0.007116232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08588537,"threshold_uncertainty_score":0.4069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527672705826838,"score_gpt":0.2338209404889787,"score_spread":0.2185442134307103,"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."}}