{"id":"W4235746462","doi":"10.4095/301504","title":"Sex Composition (female) by Age, 2006 - Oldest Old by Census Division (80 years of age and older)","year":2010,"lang":"en","type":"report","venue":"","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Demography; Composition (language); Division (mathematics); Geography; Gerontology; Medicine; Population; Mathematics; Sociology; Arithmetic; Art","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":[0.0002430365,0.0003901634,0.0002333269,0.002389674,0.0005047775,0.0004003753,0.0005553098,0.0001633145,0.009823286],"category_scores_gemma":[0.001098947,0.0001579397,0.0003225838,0.002949281,0.0001014096,0.0003304509,0.0003513632,0.0003322525,0.004626765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009853002,"about_ca_system_score_gemma":0.00166088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4697311,"about_ca_topic_score_gemma":0.6037467,"domain_scores_codex":[0.9996815,0.00001786725,0.00003352801,0.00004019687,0.0001519974,0.00007501189],"domain_scores_gemma":[0.9992257,0.00002577811,0.0001360695,0.00002220528,0.0005032694,0.00008698245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001562237,0.00009176994,0.7454416,0.0002969439,0.0001074222,0.0002185039,0.0007774173,0.0003163989,0.0008378822,0.0004682314,0.2009007,0.05038699],"study_design_scores_gemma":[0.00001262456,0.00003200714,0.9611557,0.00007202484,0.00002066106,0.0002272291,0.0009445469,0.0001239385,0.0001836492,0.00004536355,0.03717342,0.000008879842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3141403,0.002723566,0.0005241969,0.0004585135,0.0002493239,0.0004155439,0.6136944,0.0002338917,0.06756029],"genre_scores_gemma":[0.5389072,0.008221974,0.001508431,0.000692627,0.0001365761,0.0006320235,0.3626743,0.000103722,0.08712307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4697311,"threshold_uncertainty_score":0.9339939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747521338660785,"score_gpt":0.322988010940076,"score_spread":0.2855127975534681,"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."}}