{"id":"W6976766931","doi":"10.6068/dp14ba8baf3c924","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: 25 to 54 years, Not in labour force, No degree, certificate or diploma, Females, Born in Canada | 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":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Socioeconomic status; Official statistics; Census; Population; Statistics education; Economic statistics; Social statistics; Ethnic group; Citizenship","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007223173,0.0004646728,0.0008748798,0.0001411454,0.00008646928,0.00005988497,0.0006742762,0.0003139514,0.00100982],"category_scores_gemma":[0.0004201773,0.0004004124,2.538479e-7,0.0005338323,0.0002183628,0.0001488099,0.000639102,0.0007159481,0.000003148684],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008064148,"about_ca_system_score_gemma":0.01438179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999976,"about_ca_topic_score_gemma":0.9999974,"domain_scores_codex":[0.9960468,0.0002727451,0.0007741985,0.0008548795,0.001298945,0.0007524273],"domain_scores_gemma":[0.9967634,0.00103309,0.0003322976,0.000871759,0.0001159925,0.000883462],"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":[0.0004943291,0.00009803574,0.002845322,0.0007423842,0.0001168842,0.0001883372,0.00001074343,0.000002064797,0.00008142219,0.00005992144,0.9949961,0.0003645119],"study_design_scores_gemma":[0.001137329,0.0001034627,0.007180455,0.0001171483,0.0001001486,0.00001877553,0.0002825111,0.0009990925,3.816326e-7,4.65259e-7,0.9896429,0.0004173956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002736049,0.001716495,0.00001132011,0.00004064129,0.0001525516,0.0006623487,0.9970577,0.000009964578,0.00007542688],"genre_scores_gemma":[0.001164048,0.0021949,0.0001622248,0.0003747407,0.00005325178,0.00001902308,0.9887343,0.00007293087,0.007224571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01357538,"threshold_uncertainty_score":0.9999034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07204605933106044,"score_gpt":0.2995143353759096,"score_spread":0.2274682760448491,"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."}}