{"id":"W6920579003","doi":"10.6068/dp15e008293b013","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 WOMEN, 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":[0.002068755,0.0019645,0.002592184,0.005475197,0.001746131,0.003394147,0.004283884,0.001277412,0.07803908],"category_scores_gemma":[0.01714062,0.00150085,0.001426602,0.02430931,0.0004278871,0.002490906,0.001857551,0.003432275,0.07498603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01250537,"about_ca_system_score_gemma":0.03144015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8841658,"about_ca_topic_score_gemma":0.8501996,"domain_scores_codex":[0.9970132,0.0002791013,0.0003842191,0.0004884255,0.001193851,0.0006411055],"domain_scores_gemma":[0.98077,0.0009810949,0.0008455599,0.0007869854,0.01574626,0.0008701963],"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":[0.00002134295,0.000007875165,0.0007568656,0.0001602085,0.00001161697,0.000003555802,0.00001619625,0.00005785416,0.000008223224,0.0001952438,0.9974687,0.001292414],"study_design_scores_gemma":[0.0002404647,0.00001934012,0.03447378,0.000853982,0.00005582647,0.00002513605,0.0004337052,0.0003224374,0.0001523312,0.0006176207,0.9627441,0.00006121441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004953163,0.00002810686,0.00002662789,0.00006624602,0.00002976145,0.00001893415,0.9992022,0.00005102821,0.0005275405],"genre_scores_gemma":[0.0003545097,0.0001067484,0.0002014992,0.00007364753,0.00001890138,0.0001574956,0.9972975,0.00007076997,0.001718945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1158342,"threshold_uncertainty_score":0.2610667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131947637965052,"score_gpt":0.2989481744591452,"score_spread":0.2676286980794947,"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."}}