{"id":"W6901519121","doi":"10.6068/dp152a2d63e3869","title":"Trend 1980 - 2007. United Nations Economic Commission for Europe. Gender Statistics [Archive]: Unemployment by Age | Country: United States | Selection 1: Total (15+) | Selection 2: Both sexes | Selection 3: Unemployed, 1980-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-003-027.","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Unemployment; Commonwealth; Official statistics; Selection (genetic algorithm); Economic statistics; Per capita; International Standard Industrial Classification","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":[0.001746046,0.001756533,0.001717502,0.005026207,0.0009138976,0.002816173,0.002287763,0.001087506,0.08711703],"category_scores_gemma":[0.01207543,0.001062713,0.0009961644,0.01919493,0.0002712418,0.003011622,0.001777607,0.002152064,0.09821925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868348,"about_ca_system_score_gemma":0.0064002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.168292,"about_ca_topic_score_gemma":0.1061972,"domain_scores_codex":[0.9980865,0.0002330885,0.0003135388,0.0003474272,0.000663958,0.0003555775],"domain_scores_gemma":[0.9922217,0.0008204855,0.0007428366,0.000428589,0.005417774,0.0003686161],"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":[0.00002337588,0.000008805912,0.0007098773,0.0002304906,0.00000881197,0.000006087781,0.00001526423,0.00004487965,0.00001251037,0.0003487449,0.9966611,0.001930132],"study_design_scores_gemma":[0.00008859257,0.00001623431,0.01795645,0.0006350841,0.00002220692,0.00002371856,0.0002296567,0.0001066535,0.000128875,0.0004856143,0.9802799,0.00002696497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009031971,0.00005648965,0.00003496037,0.00008321666,0.00006633662,0.00001597179,0.9983107,0.00005021865,0.001291836],"genre_scores_gemma":[0.0004942172,0.0001712093,0.0002296494,0.0000806665,0.00002565669,0.0001929445,0.9952649,0.00008950965,0.003451153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.168292,"threshold_uncertainty_score":0.3346249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729353143176701,"score_gpt":0.2961887801047561,"score_spread":0.2588952486729891,"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."}}