{"id":"W6938938037","doi":"10.6068/dp14ba7c5107197","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 15 years and over, Africa, Employment rate, Both sexes, Immigrants, landed 5 or less years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Utopian, Dystopian, and Speculative Fiction","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Census; Official statistics; Economic statistics; Immigration; Socioeconomic status; Summary statistics; General Social Survey; Statistical analysis; Discouraged worker","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":[0.002397491,0.002339731,0.002726502,0.007705536,0.003525992,0.005025022,0.005346424,0.00144833,0.09607062],"category_scores_gemma":[0.01892117,0.001928714,0.002263708,0.03738295,0.0006112631,0.002502006,0.002508053,0.003119482,0.05449671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05171813,"about_ca_system_score_gemma":0.1410102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955972,"about_ca_topic_score_gemma":0.9939073,"domain_scores_codex":[0.9954491,0.000350728,0.0005170483,0.0005337597,0.002034716,0.00111474],"domain_scores_gemma":[0.9667387,0.0012372,0.001031552,0.0009257737,0.02825347,0.001813326],"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":[0.00002728123,0.000007170946,0.0009926624,0.0002469288,0.00002152339,0.000006451817,0.0000254837,0.00009649788,0.000008837472,0.0003598648,0.9963915,0.001815786],"study_design_scores_gemma":[0.0001931511,0.00001602968,0.03009776,0.001118297,0.00008696918,0.00003285635,0.0006241284,0.000539721,0.0001980214,0.000736809,0.9662456,0.0001107083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005955662,0.00005749054,0.00002951397,0.0001399804,0.00003336238,0.00001877463,0.9986193,0.00006992853,0.0009720779],"genre_scores_gemma":[0.0009704431,0.0003726482,0.0005375235,0.0002203224,0.00002299412,0.0001648256,0.9919958,0.0001566572,0.005558842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09607062,"threshold_uncertainty_score":0.3752431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446620467628723,"score_gpt":0.2312053883874158,"score_spread":0.2067391837111286,"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."}}