{"id":"W6958090640","doi":"10.6068/dp14ba86d4ed16","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, Latin America, Unemployment, 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; Descriptive statistics; Socioeconomic status; Population; Ethnic group; Summary 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":[0.002741487,0.002544761,0.002944793,0.007818977,0.003322011,0.004788452,0.005722655,0.001449388,0.09704284],"category_scores_gemma":[0.01881419,0.002078944,0.002550967,0.03679808,0.0005748799,0.002441467,0.002567028,0.003320237,0.05067842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04899048,"about_ca_system_score_gemma":0.1380816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941782,"about_ca_topic_score_gemma":0.992124,"domain_scores_codex":[0.9951557,0.0003707405,0.0005629231,0.0005375898,0.002212941,0.001160166],"domain_scores_gemma":[0.9629371,0.001236839,0.001148076,0.001025724,0.03171548,0.001936846],"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":[0.00003360969,0.000009480627,0.001439156,0.0002681041,0.0000262858,0.000007367631,0.00002677486,0.00009594921,0.00001076667,0.0003235378,0.9957294,0.002029609],"study_design_scores_gemma":[0.0002675781,0.00002299315,0.04467658,0.001407898,0.0001099726,0.00003890672,0.0006903537,0.0005499197,0.0002368195,0.0008138851,0.9510661,0.0001190164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007596945,0.00005520216,0.00002867416,0.0001428517,0.00003900062,0.00002573421,0.9985636,0.0000589026,0.001010076],"genre_scores_gemma":[0.0009892697,0.0003307408,0.0005198727,0.0002342056,0.00002623732,0.0002201963,0.9914299,0.0001457802,0.006103794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09704284,"threshold_uncertainty_score":0.3554525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918339824794025,"score_gpt":0.2406635088624553,"score_spread":0.2214801106145151,"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."}}