{"id":"W6939000402","doi":"10.6068/dp14ba8ad81fd82","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, sex and detailed age group | Variable: 25 to 54 years, Full-time employment, Males, Immigrants, landed more than 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","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; Unemployment; Official statistics; Census; Descriptive statistics; Socioeconomic status; Population; Ethnic group; Diversity (politics)","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":[0.002700632,0.002595629,0.002934847,0.007860257,0.003435106,0.004840159,0.005644691,0.001505581,0.1018653],"category_scores_gemma":[0.01938336,0.002031812,0.002438045,0.03758377,0.0006018454,0.002428591,0.002583584,0.003317012,0.05582343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05073432,"about_ca_system_score_gemma":0.1372509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945545,"about_ca_topic_score_gemma":0.9925087,"domain_scores_codex":[0.9953092,0.0003498814,0.0005353071,0.0005593266,0.002096985,0.001149268],"domain_scores_gemma":[0.9643146,0.00128539,0.001120926,0.001050648,0.03035239,0.001875938],"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":[0.00002972937,0.000008312049,0.001163771,0.0002362051,0.00002235094,0.000006690406,0.00002477211,0.0000919086,0.000009612424,0.0003013725,0.9963303,0.001775008],"study_design_scores_gemma":[0.0002425799,0.00002025543,0.03618843,0.001226535,0.00009533136,0.00003461209,0.0006150992,0.0005207872,0.0002176449,0.0007659221,0.95996,0.0001127453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006342983,0.00004620479,0.00002662613,0.0001247403,0.00003524683,0.00002142619,0.9987122,0.00005872536,0.0009114339],"genre_scores_gemma":[0.0008481086,0.0002694532,0.0004383754,0.0002042264,0.0000229388,0.0001874925,0.9923782,0.0001368911,0.005514211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1018653,"threshold_uncertainty_score":0.3681049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700576195632348,"score_gpt":0.2368121994212802,"score_spread":0.2198064374649568,"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."}}