{"id":"W6976477043","doi":"10.6068/dp160086d506667","title":"Trend 1980 - 1990. United Nations Economic Commission for Europe. Gender Statistics [Archive]: Mean Age at First Marriage | Country: United States | Selection 1: Female, 1980-1990. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-003-011.","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; Commonwealth; Official statistics; Population; Economic data; 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":[0.001703045,0.001700421,0.001683897,0.005731116,0.0008496763,0.002579212,0.002131373,0.001052281,0.07412377],"category_scores_gemma":[0.01286683,0.00103979,0.000993652,0.02304898,0.0002815338,0.002892105,0.001775659,0.002197369,0.07627324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002986659,"about_ca_system_score_gemma":0.006246286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1760905,"about_ca_topic_score_gemma":0.1079314,"domain_scores_codex":[0.9980536,0.0002373461,0.0003336389,0.000382159,0.0006513651,0.0003419627],"domain_scores_gemma":[0.9920982,0.0009147841,0.0008325436,0.0004930971,0.005311098,0.0003501037],"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":[0.00002213865,0.000009620991,0.0009267115,0.0002624119,0.00001149104,0.000006578514,0.00001896412,0.00004661185,0.00001327362,0.0003488538,0.9962914,0.002041894],"study_design_scores_gemma":[0.0001076227,0.00001864681,0.02349735,0.0006564401,0.0000302851,0.00003132107,0.0002780598,0.0001099445,0.0001178502,0.0005296837,0.9745963,0.00002647523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000903962,0.00005700896,0.00002728374,0.00006509299,0.00004675185,0.00001486487,0.9987826,0.00003605014,0.0008799966],"genre_scores_gemma":[0.0005024913,0.000155824,0.000186046,0.00006355957,0.00002104455,0.0001730051,0.9968857,0.00005779873,0.001954455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1760905,"threshold_uncertainty_score":0.3501312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06815598006315442,"score_gpt":0.3057577845261529,"score_spread":0.2376018044629985,"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."}}