{"id":"W6939007034","doi":"10.6068/dp14ba8dc71a564","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Employment, No degree, certificate or diploma, Males, Immigrants, landed 5 or less years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-093.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Official statistics; Socioeconomic status; Census; Statistics education; Population; Economic statistics; Ethnic group; Citizenship; Population 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":[0.002776328,0.002541894,0.002951077,0.00779242,0.003415987,0.004609647,0.005762426,0.001399157,0.0846091],"category_scores_gemma":[0.01880229,0.001988975,0.002605565,0.03521901,0.0006363559,0.002310362,0.002598958,0.003288447,0.04248656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05114636,"about_ca_system_score_gemma":0.1361735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959412,"about_ca_topic_score_gemma":0.9945871,"domain_scores_codex":[0.9955154,0.0003402816,0.0005109026,0.0005146792,0.002021426,0.001097372],"domain_scores_gemma":[0.9660478,0.001161691,0.001064986,0.001032322,0.02889754,0.00179566],"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":[0.00003551643,0.000009850776,0.001797535,0.0002873323,0.00003034901,0.000007234748,0.00003434608,0.0001086412,0.0000112602,0.0002949087,0.9954553,0.001927756],"study_design_scores_gemma":[0.0003241271,0.0000256577,0.05912878,0.001358867,0.0001310539,0.00004051773,0.0008938804,0.000681336,0.0002383758,0.0007424468,0.936301,0.0001338363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009010236,0.00005518763,0.00002816542,0.0001306709,0.00003882024,0.00002279953,0.9987797,0.00005731303,0.0007971539],"genre_scores_gemma":[0.001158759,0.0003018196,0.0004541206,0.0001887099,0.00002459611,0.0002026806,0.9924229,0.0001188674,0.005127607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0846091,"threshold_uncertainty_score":0.3710945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899228214498032,"score_gpt":0.259822565486185,"score_spread":0.2008302833412047,"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."}}