{"id":"W6958073834","doi":"10.6068/dp16286e307a29","title":"TREND: United Nations Economic Commission for Europe. Gender Statistics [Archive]: Mean Age at First Marriage | Country: Ukraine | Selection 1: Female, Male, 1980 - 2006. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 054-003-011","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Official statistics; Population; CONQUEST; Economic data; Economic statistics; Population statistics","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":[0.001744885,0.001500403,0.001923984,0.005538391,0.0007386886,0.002592546,0.002163624,0.0009222259,0.05719157],"category_scores_gemma":[0.01248503,0.0009349403,0.001071433,0.01990436,0.0002816329,0.002758635,0.001817139,0.002124679,0.06561854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00247412,"about_ca_system_score_gemma":0.005317149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09404176,"about_ca_topic_score_gemma":0.04679124,"domain_scores_codex":[0.9976456,0.000386103,0.0004765131,0.0004930743,0.0006723823,0.0003262844],"domain_scores_gemma":[0.9918669,0.00101954,0.001193203,0.0007182373,0.004876839,0.0003253543],"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":[0.00003495067,0.00001370463,0.001485074,0.0004098588,0.00002485086,0.00001440946,0.00002954731,0.0001149891,0.0000171276,0.0005498988,0.9937711,0.003534466],"study_design_scores_gemma":[0.0000776528,0.00002005176,0.01936425,0.0007596303,0.00003836204,0.0000387839,0.0002557197,0.0001587859,0.0001170976,0.0006767946,0.9784672,0.00002566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001526373,0.0001229447,0.00006909647,0.0000969969,0.00006415018,0.00002524689,0.9981886,0.00006846285,0.001211902],"genre_scores_gemma":[0.0007743182,0.0002596109,0.0002903154,0.00007634176,0.00002619248,0.0001761419,0.9961926,0.00008050211,0.002124018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09404176,"threshold_uncertainty_score":0.1913248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046401189145319,"score_gpt":0.2885676822838908,"score_spread":0.2481036703924376,"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."}}