{"id":"W6920442801","doi":"10.6068/dp14d15fb857340","title":"TREND: United Nations Economic Commission for Europe. Gender Statistics [Archive]: Unemployment by Age | Country: Armenia, Belgium, Canada, France, Germany, Russia, Spain, Sweden, United Kingdom, United States | Selection 1: 25 - 49 | Selection 2: Female, Male | Selection 3: Unemployed, 1990 - 2007. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 054-003-027","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Unemployment; Official statistics; International Standard Industrial Classification; Economic statistics; Economic data; National accounts","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001851346,0.002289695,0.001926922,0.004676492,0.001279848,0.001036755,0.003276275,0.00103457,0.006067911],"category_scores_gemma":[0.0001503323,0.002492592,0.000007078149,0.002872166,0.0005361085,0.001070561,0.001072448,0.001964186,0.001342123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480161,"about_ca_system_score_gemma":0.002193907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9720843,"about_ca_topic_score_gemma":0.9011136,"domain_scores_codex":[0.9876775,0.002338774,0.002533424,0.003312381,0.001933905,0.002203986],"domain_scores_gemma":[0.9907582,0.001726162,0.002615879,0.00336709,0.0001419935,0.001390695],"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":[0.0007525758,0.0006818743,0.0001338528,0.0009346601,0.001924004,0.0001839077,0.00001466503,0.005694242,0.000108509,0.0006527366,0.9888892,0.00002976001],"study_design_scores_gemma":[0.00335956,0.0004107674,0.00001986743,0.00009102956,0.001733219,0.0003621788,0.0000753285,0.1486739,0.000001280151,0.000001958837,0.8430551,0.002215846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006589943,0.000453742,0.001733295,0.00002021685,0.001306887,0.003821779,0.990188,0.0009458782,0.001523582],"genre_scores_gemma":[0.00002176426,0.0008664621,0.002187918,0.0003770529,0.0009343007,0.0002303806,0.983148,0.001803572,0.01043057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1458341,"threshold_uncertainty_score":0.9997456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272645946703476,"score_gpt":0.2852255423153251,"score_spread":0.2524990828482904,"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."}}