{"id":"W6901660970","doi":"10.6068/dp15e0084ff6d99","title":"Trend 1970 - 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 MEN, 1970-2012. 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":[0.002060981,0.001956858,0.002596418,0.005481406,0.001760162,0.003402959,0.004281559,0.001272226,0.07785152],"category_scores_gemma":[0.01690631,0.001485239,0.001429528,0.02398057,0.0004295439,0.002451084,0.001848388,0.003428757,0.07560887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01233558,"about_ca_system_score_gemma":0.0315581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8875898,"about_ca_topic_score_gemma":0.8554753,"domain_scores_codex":[0.9970363,0.0002764478,0.0003759751,0.0004879629,0.001185797,0.0006374499],"domain_scores_gemma":[0.9807025,0.0009686401,0.0008365922,0.0007864755,0.01582989,0.0008759321],"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":[0.00002130386,0.000007847333,0.0007601336,0.0001564719,0.00001170989,0.000003573505,0.00001600395,0.00005769089,0.000008085924,0.0001932249,0.9974874,0.001276389],"study_design_scores_gemma":[0.0002401012,0.00001923593,0.03439392,0.0008430493,0.00005648059,0.0000250904,0.0004255161,0.0003267417,0.0001528673,0.0006163414,0.9628395,0.00006125036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004970098,0.00002814873,0.00002694247,0.00006577977,0.00002986016,0.0000186466,0.999203,0.00005171501,0.0005262163],"genre_scores_gemma":[0.0003493033,0.000103214,0.0001979477,0.00007223048,0.0000187655,0.00015001,0.9973381,0.00007009583,0.001700318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1124102,"threshold_uncertainty_score":0.2604393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324054049767318,"score_gpt":0.3030881307718716,"score_spread":0.2698475902741984,"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."}}