{"id":"W6901580578","doi":"10.6068/dp14ba8da0dc59","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Labour force, Total, all education levels, Females, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Census; Official statistics; Immigration; Economic statistics; Socioeconomic status; Summary statistics; Statistics education; General Social Survey; Statistical analysis","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":[0.002373473,0.002395679,0.002693278,0.008296513,0.0035826,0.005075708,0.005166006,0.001422408,0.08764186],"category_scores_gemma":[0.01812786,0.001907373,0.002211192,0.03820107,0.0006194817,0.002383813,0.002457319,0.003036201,0.0486658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05564602,"about_ca_system_score_gemma":0.1479384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963827,"about_ca_topic_score_gemma":0.9950126,"domain_scores_codex":[0.9955119,0.0003182288,0.0004953453,0.0005302084,0.002022382,0.001121892],"domain_scores_gemma":[0.9676818,0.0011954,0.00101077,0.0009036699,0.02739472,0.001813765],"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":[0.00002719491,0.000007417289,0.00110039,0.000249054,0.00002171928,0.000006844489,0.00002813073,0.00009995604,0.000009329228,0.00035533,0.9961386,0.001955977],"study_design_scores_gemma":[0.0001834813,0.00001626325,0.03239015,0.001087232,0.00008617815,0.0000332787,0.0006503222,0.0005529432,0.0001977107,0.0006823633,0.9640109,0.0001091509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006761104,0.00006295008,0.00002946216,0.000141407,0.0000337831,0.00001906022,0.9985902,0.00007014856,0.0009854357],"genre_scores_gemma":[0.001064378,0.0003994541,0.0005214529,0.0002121049,0.00002349923,0.0001613346,0.9917485,0.0001450936,0.005724154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08764186,"threshold_uncertainty_score":0.403742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241604155879194,"score_gpt":0.2769691847120299,"score_spread":0.2445531431532379,"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."}}