{"id":"W6976927657","doi":"10.6068/dp14ba86968d748","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, country of birth, sex and age group | Variable: 25 to 54 years, Africa, Participation rate, Males, Landed immigrants | 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; Socioeconomic status; Descriptive statistics; Population; Ethnic group; Diversity (politics); Summary 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":[0.002776011,0.00251667,0.002935465,0.007587898,0.003247406,0.004726763,0.005714733,0.001458733,0.09856465],"category_scores_gemma":[0.01908575,0.002055174,0.002522827,0.03645327,0.0005712169,0.002423972,0.002550557,0.003324927,0.05165628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04781917,"about_ca_system_score_gemma":0.1339597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936796,"about_ca_topic_score_gemma":0.9914499,"domain_scores_codex":[0.9952326,0.0003741485,0.0005610936,0.0005276981,0.002165897,0.001138525],"domain_scores_gemma":[0.9629974,0.001270593,0.001153203,0.001024362,0.03161944,0.00193496],"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":[0.00003312159,0.000009371098,0.001372066,0.0002657454,0.00002545546,0.000007079249,0.00002545284,0.00009326586,0.00001053804,0.0003148737,0.9958911,0.001952008],"study_design_scores_gemma":[0.0002801617,0.00002338941,0.04487478,0.001451837,0.0001103892,0.00003784146,0.0006864343,0.0005608519,0.0002360742,0.0008264369,0.950792,0.0001197804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007284652,0.00005250953,0.00002824659,0.0001398454,0.00003909019,0.00002567436,0.9986088,0.00005746351,0.0009756963],"genre_scores_gemma":[0.0009438159,0.0003147296,0.0005118408,0.0002310761,0.00002587827,0.0002262799,0.991711,0.0001430654,0.00589217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09856465,"threshold_uncertainty_score":0.346954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288106823409112,"score_gpt":0.2454614184249929,"score_spread":0.2225803501909017,"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."}}