{"id":"W6901533548","doi":"10.6068/dp15cc1f694f79","title":"TREND: United Nations Economic Commission for Europe. Gender Statistics [Archive]: Employment by Level of Education | Country: Austria | Selection 1: All Educational Levels | Selection 2: Professionals | Selection 3: Both sexes, 1995 - 2008. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 054-003-021","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; International Standard Industrial Classification; Selection (genetic algorithm); Official statistics; Economic data; Economic statistics; National accounts; Data collection","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":[0.00166651,0.001581016,0.001448403,0.005526926,0.0007307829,0.002647397,0.002253469,0.0009528158,0.07880326],"category_scores_gemma":[0.01177929,0.0009092977,0.0009864419,0.01841435,0.0002861548,0.002897588,0.00154861,0.002416406,0.08581954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002112685,"about_ca_system_score_gemma":0.004553738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08172613,"about_ca_topic_score_gemma":0.05245204,"domain_scores_codex":[0.9979897,0.0002789205,0.0003482056,0.0004437664,0.0006376156,0.0003018911],"domain_scores_gemma":[0.9930143,0.001071991,0.0009356686,0.0005815245,0.004066463,0.000329958],"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":[0.00001827088,0.000006426135,0.0006240586,0.0002087692,0.00001006631,0.000006397903,0.00001499223,0.00004554456,0.00001225922,0.0003570224,0.9969521,0.001744057],"study_design_scores_gemma":[0.00008304431,0.00001272476,0.01074648,0.0006361465,0.00002447086,0.00002396901,0.0001977441,0.0001131727,0.00008800537,0.0006652069,0.987388,0.0000211314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009057055,0.00007012914,0.00005062864,0.00009708595,0.00006007979,0.00001867978,0.9985097,0.00004669185,0.00105643],"genre_scores_gemma":[0.0004903201,0.0001804641,0.0002441782,0.00008323779,0.00002808829,0.0002006975,0.9965873,0.0000707448,0.002115028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08172613,"threshold_uncertainty_score":0.2636232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151142557297216,"score_gpt":0.3765759791238581,"score_spread":0.2614617233941364,"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."}}