{"id":"W6957828767","doi":"10.6068/dp14ba885032478","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, Full-time employment, Males, 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; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002674197,0.002421448,0.002932082,0.007539009,0.003436479,0.00489142,0.005557986,0.001398007,0.09120583],"category_scores_gemma":[0.0195322,0.002017973,0.002350515,0.03552296,0.0006044339,0.002422544,0.00241808,0.003350234,0.04505089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05346511,"about_ca_system_score_gemma":0.1496561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9951611,"about_ca_topic_score_gemma":0.993098,"domain_scores_codex":[0.9953376,0.0003471512,0.0005728154,0.0005648925,0.002080646,0.001096859],"domain_scores_gemma":[0.9635953,0.001233423,0.001072886,0.0009842478,0.03126766,0.001846413],"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":[0.00003964363,0.00001029941,0.001695793,0.0003054465,0.00002893213,0.000008226843,0.00003279134,0.0001044868,0.00001175345,0.0003410171,0.9950027,0.002419012],"study_design_scores_gemma":[0.0002967458,0.00002451676,0.05066176,0.001673159,0.0001296829,0.00004267477,0.0008257586,0.0006056825,0.0002288665,0.0008619599,0.9445249,0.0001243125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00008766626,0.00006519129,0.00003341272,0.0001586031,0.00004251118,0.00002951912,0.9984572,0.00006317695,0.001062677],"genre_scores_gemma":[0.001347166,0.0004662909,0.00064045,0.0002805025,0.00003046947,0.0002627704,0.9902719,0.0001622079,0.006538334],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9951611,"threshold_uncertainty_score":0.3879184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958723702899684,"score_gpt":0.2367504860470626,"score_spread":0.2171632490180658,"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."}}