{"id":"W6901703924","doi":"10.6068/dp14ba88e136458","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, sex and detailed age group | Variable: 55 years and over, Participation rate, Females, Landed immigrants | 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; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; Current Population 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002743225,0.002400177,0.002943237,0.007655522,0.003435878,0.004988983,0.005539226,0.001393027,0.09131638],"category_scores_gemma":[0.01990177,0.001976085,0.00229917,0.03654125,0.0006019154,0.002435558,0.002475279,0.003372309,0.0480237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05138507,"about_ca_system_score_gemma":0.1435806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947022,"about_ca_topic_score_gemma":0.9926502,"domain_scores_codex":[0.9953241,0.0003547739,0.0005765087,0.0005719413,0.002060967,0.001111765],"domain_scores_gemma":[0.9644443,0.001258963,0.001090256,0.0009887847,0.03038183,0.001835854],"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":[0.00003481968,0.000009343632,0.001529758,0.0002773984,0.00002500917,0.000007574804,0.00003188312,0.00009520457,0.00001033731,0.0003103048,0.9955324,0.002135946],"study_design_scores_gemma":[0.000278276,0.00002199609,0.0460118,0.00153401,0.0001136781,0.00003851756,0.0008023253,0.0005693996,0.0002105015,0.000850866,0.949452,0.0001165762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007801409,0.00005534439,0.00003036755,0.000145577,0.00003923173,0.00002712715,0.9985982,0.000058821,0.0009673765],"genre_scores_gemma":[0.001116827,0.0003737779,0.0005592111,0.000235389,0.00002660375,0.0002516673,0.9915877,0.000143665,0.005705101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9086836,"threshold_uncertainty_score":0.3728265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185337128681838,"score_gpt":0.2630575073584377,"score_spread":0.2312041360716193,"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."}}