{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001268199,0.002414672,0.002941737,0.0005182456,0.0004352751,0.001082595,0.006185299,0.001305519,0.007708611],"category_scores_gemma":[0.0002357481,0.002445266,0.000005197501,0.0001863594,0.001300787,0.001539075,0.002621996,0.001832401,0.0004900381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006269212,"about_ca_system_score_gemma":0.004408212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8642623,"about_ca_topic_score_gemma":0.949869,"domain_scores_codex":[0.9889565,0.0006806403,0.002511072,0.003435587,0.002278283,0.002137883],"domain_scores_gemma":[0.9862546,0.001952194,0.004027946,0.005807709,0.00038661,0.001570934],"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":[0.001479325,0.0006451525,0.0008116651,0.002133324,0.003525881,0.0004535884,0.00001807456,0.00003928148,0.00004325921,0.006790406,0.9836506,0.0004094493],"study_design_scores_gemma":[0.005776838,0.0006868811,0.0003437664,0.0004325917,0.001875323,0.0001096242,0.0002545837,0.005108151,8.313492e-7,0.00001617083,0.9829865,0.002408722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004699524,0.00257632,0.00006790224,0.00009575352,0.001096601,0.003804442,0.9883562,0.0002868747,0.003711239],"genre_scores_gemma":[0.00001795603,0.002006902,0.003844702,0.0004573229,0.0008704762,0.0004533128,0.9565426,0.001441216,0.03436556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08560675,"threshold_uncertainty_score":0.999991,"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."}}