{"id":"W6901449967","doi":"10.6068/dp14ba8b2c31e45","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, educational attainment, sex and age group | Variable: 25 to 54 years, Unemployment rate, Total, all education levels, Both sexes, Total population | 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; Census; Socioeconomic status; Official statistics; Population; Descriptive statistics; 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":[0.002566264,0.002544472,0.002874651,0.007585945,0.003282506,0.004783151,0.005538578,0.001471182,0.09717083],"category_scores_gemma":[0.01858583,0.001927513,0.002390345,0.03618528,0.0005867696,0.002387912,0.002526905,0.003259926,0.05508709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0468109,"about_ca_system_score_gemma":0.1252197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937119,"about_ca_topic_score_gemma":0.9915325,"domain_scores_codex":[0.9957196,0.0003230965,0.0004916111,0.000524934,0.001891082,0.001049571],"domain_scores_gemma":[0.9675328,0.001219272,0.001035377,0.0009983658,0.02750316,0.001711011],"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":[0.000027319,0.000007410796,0.001073071,0.0002297435,0.00002151388,0.000006474262,0.00002300203,0.00009172015,0.000009354929,0.0002941097,0.996563,0.001653171],"study_design_scores_gemma":[0.0002345346,0.00001754948,0.03198941,0.001184342,0.00008949787,0.00003374853,0.0005454199,0.0005243664,0.000209074,0.0007829088,0.9642824,0.0001067628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005594019,0.00004268134,0.00002435828,0.0001156962,0.00003162095,0.00001857285,0.9988418,0.00005556645,0.0008137383],"genre_scores_gemma":[0.0007373627,0.0002390719,0.0004012279,0.0001831754,0.00002068978,0.000165176,0.9936523,0.0001243753,0.004476557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09717083,"threshold_uncertainty_score":0.3396384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363485716324139,"score_gpt":0.2630438142347237,"score_spread":0.2394089570714823,"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."}}