{"id":"W6939219368","doi":"10.6068/dp14ba8696cec49","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, 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Census; Population; Descriptive statistics; Socioeconomic status; 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":[0.002533141,0.002470765,0.002910092,0.007683178,0.003396578,0.00479065,0.005489277,0.001396097,0.09385965],"category_scores_gemma":[0.01813489,0.001939036,0.002469411,0.03563203,0.0005730892,0.002363624,0.002506004,0.003256134,0.04829325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0487906,"about_ca_system_score_gemma":0.1358012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943048,"about_ca_topic_score_gemma":0.9925479,"domain_scores_codex":[0.9955475,0.0003397455,0.0005190526,0.0005073324,0.002000023,0.001086294],"domain_scores_gemma":[0.9664016,0.001129605,0.001035891,0.0009249294,0.02871735,0.001790612],"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":[0.00003320989,0.000009175268,0.001426609,0.0002701131,0.00002652335,0.000007868302,0.00002729573,0.00009830103,0.00001072179,0.0003218909,0.9957597,0.002008547],"study_design_scores_gemma":[0.0002624339,0.00002161381,0.04330385,0.001373264,0.00011258,0.00004063197,0.0006765205,0.0005730617,0.0002393169,0.0008359236,0.952441,0.0001198154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007577817,0.00005434439,0.00002861155,0.0001407582,0.0000369817,0.00002426689,0.9986109,0.00005996703,0.0009683451],"genre_scores_gemma":[0.001008092,0.0003290285,0.0005145584,0.000219703,0.00002551169,0.0002036315,0.9920309,0.0001390777,0.005529545],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09385965,"threshold_uncertainty_score":0.3540022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591155587813621,"score_gpt":0.2206193928900286,"score_spread":0.2047078370118924,"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."}}