{"id":"W6901458634","doi":"10.6068/dp14ba8bfa4be19","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Unemployment, No degree, certificate or diploma, Females, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","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; Socioeconomic status; Population; Statistics education; Ethnic group; Population statistics; Official statistics; 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":[0.002846987,0.002513157,0.002876229,0.008669558,0.003539378,0.005272553,0.005430882,0.001538072,0.08969165],"category_scores_gemma":[0.02227527,0.002010024,0.00244997,0.04050441,0.0006797473,0.002571431,0.002632554,0.003276922,0.0493769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05563278,"about_ca_system_score_gemma":0.1602201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953686,"about_ca_topic_score_gemma":0.9933705,"domain_scores_codex":[0.9947549,0.00039323,0.0006259436,0.0006018017,0.002426202,0.001197987],"domain_scores_gemma":[0.9612334,0.001478576,0.001125697,0.001177318,0.0330745,0.00191045],"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":[0.00002901302,0.000007656378,0.001167878,0.0002803316,0.00002563386,0.000007051106,0.0000278882,0.0001047747,0.00001077382,0.0003750032,0.9960061,0.001957982],"study_design_scores_gemma":[0.0002028322,0.00001627515,0.02943785,0.001238635,0.0001011832,0.00003372009,0.0006034235,0.0005121863,0.0002006361,0.0008093094,0.9667354,0.0001084335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005962041,0.00006122176,0.00003127211,0.000155581,0.00004067407,0.00002159185,0.9986256,0.00006701468,0.0009374506],"genre_scores_gemma":[0.0009581611,0.0003965681,0.0005946663,0.0002390102,0.00002585866,0.0001883264,0.9921927,0.0001561216,0.005248563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08969165,"threshold_uncertainty_score":0.403646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06494011265488399,"score_gpt":0.2873344405822968,"score_spread":0.2223943279274128,"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."}}