{"id":"W6901460458","doi":"10.6068/dp15324796cff24","title":"Ranking of Countries (2007). United Nations Economic Commission for Europe. Gender Statistics [Archive]: Gender Pay Gap by Level of Education | Selection 1: Total, 2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-003-031.","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; Earnings; Official statistics; Ranking (information retrieval); International Standard Industrial Classification; National accounts; Economic data; International comparisons","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":[0.001934284,0.002440213,0.002266465,0.008242067,0.0009232704,0.003827393,0.00230661,0.001077245,0.08963262],"category_scores_gemma":[0.01123698,0.0009913269,0.001216358,0.03301493,0.0003968939,0.002969366,0.00225051,0.002785592,0.1301707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532407,"about_ca_system_score_gemma":0.005882563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08949182,"about_ca_topic_score_gemma":0.05537857,"domain_scores_codex":[0.9969484,0.0003870566,0.0004885307,0.000591732,0.001073321,0.0005109525],"domain_scores_gemma":[0.9914194,0.001138688,0.0008532703,0.0006911642,0.005512052,0.0003853625],"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":[0.00001594834,0.000007254997,0.0005095834,0.0002429828,0.00000960431,0.000006502767,0.00001108917,0.00004750619,0.00001238001,0.0003768707,0.9967536,0.002006611],"study_design_scores_gemma":[0.00007186898,0.00001483858,0.01143855,0.0005609591,0.00001825381,0.00002762861,0.0002231991,0.0001080044,0.0001128873,0.0005649389,0.9868321,0.00002673473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008066128,0.00009571084,0.00003911357,0.0000749304,0.00007991672,0.00001878299,0.9979728,0.00006653867,0.001571523],"genre_scores_gemma":[0.0005462112,0.0002908751,0.0003586721,0.00008578824,0.00002819402,0.0001788223,0.9957725,0.0001114637,0.002627369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08963262,"threshold_uncertainty_score":0.299851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234199189137489,"score_gpt":0.3444524843992143,"score_spread":0.2210325654854653,"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."}}