{"id":"W6901707521","doi":"10.6068/dp15e00816afc73","title":"Trend 1976 - 2012. Bureau of Labor Statistics. International Labor Statistics [Archive]: Civilian Labor Force, Employment, and Unemployment | Country: Canada | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Whole economy | Series: UNEMPLOYMENT RATES FOR YOUTH, 1976-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-031-001.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Earnings; Official statistics; Current Population Survey; Population; International comparisons; Economic statistics; Discouraged worker; Wages and salaries","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":[0.002233103,0.002062052,0.002746976,0.005807629,0.001856089,0.003756693,0.004619463,0.001339304,0.08547894],"category_scores_gemma":[0.01868913,0.001558769,0.001438469,0.02525723,0.0004355853,0.002603673,0.001880824,0.003652815,0.08392874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01369451,"about_ca_system_score_gemma":0.03460526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8889605,"about_ca_topic_score_gemma":0.8511452,"domain_scores_codex":[0.9965925,0.0003242623,0.0004235899,0.0005255031,0.001443063,0.0006911378],"domain_scores_gemma":[0.9778991,0.001086811,0.000918534,0.000865193,0.01827416,0.0009563538],"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":[0.00002012087,0.000007737279,0.0006850935,0.0001527994,0.00001137007,0.000003613436,0.00001592336,0.0000614856,0.000007896657,0.0002119545,0.997537,0.001285041],"study_design_scores_gemma":[0.0002093194,0.00001772486,0.03072554,0.0007918608,0.00005050599,0.00002316474,0.0004228864,0.0003024023,0.0001443331,0.0006011479,0.9666503,0.00006077841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004849176,0.00002934318,0.00002975463,0.00006922938,0.00003550498,0.00002166029,0.9991104,0.0000549426,0.000600574],"genre_scores_gemma":[0.000346615,0.0001130821,0.0002158464,0.00007581634,0.00002184268,0.000177134,0.9969122,0.00007610509,0.00206134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1110395,"threshold_uncertainty_score":0.2859555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771448372627834,"score_gpt":0.3018211583174397,"score_spread":0.2641066745911614,"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."}}