{"id":"W6976777615","doi":"10.6068/dp150633017ad24","title":"Ranking of Countries (2007). United Nations Economic Commission for Europe. Gender Statistics [Archive]: Graduates by Type of Program | Selection 1: Theoretical and advanced research programmes (5A+6) | Selection 2: Both sexes | Selection 3: Graduates, 2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-003-034.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Ranking (information retrieval); Selection (genetic algorithm); Official statistics; Data collection; International Standard Industrial Classification; Statistics education; 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":[0.002298595,0.002374986,0.002179589,0.008139409,0.0009472377,0.003589903,0.002426277,0.001077149,0.0990991],"category_scores_gemma":[0.01332753,0.001056741,0.001065844,0.03769285,0.0004203774,0.003247395,0.002274492,0.002693658,0.114903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968404,"about_ca_system_score_gemma":0.007415024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1023092,"about_ca_topic_score_gemma":0.05795373,"domain_scores_codex":[0.9966672,0.0004808835,0.0005487331,0.0005800629,0.001201515,0.0005216562],"domain_scores_gemma":[0.9904649,0.001245031,0.0009189097,0.0006903292,0.006251795,0.0004289459],"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":[0.00002014863,0.000009677834,0.0006409381,0.0003333206,0.00001065783,0.000008020475,0.00001880877,0.0000606832,0.00001494366,0.0006579566,0.9953001,0.002924678],"study_design_scores_gemma":[0.00005272927,0.0000140588,0.01122736,0.000589297,0.00001672189,0.00002150162,0.0002567777,0.00008529422,0.0001034911,0.000572484,0.9870357,0.00002464092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001191098,0.0001214691,0.0000681981,0.0001169686,0.0001161546,0.00002690755,0.9965167,0.00008019776,0.002834297],"genre_scores_gemma":[0.0008449371,0.0004516371,0.0006516205,0.0001131477,0.00003537325,0.0002948719,0.9928189,0.0001544309,0.004635063],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1023092,"threshold_uncertainty_score":0.3315195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07627609508821827,"score_gpt":0.4055589242718943,"score_spread":0.329282829183676,"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."}}