{"id":"W4233395213","doi":"10.4095/301494","title":"Sex Composition (male) 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; Composition (language); Division (mathematics); Demography; Geography; Gerontology; Medicine; Sociology; Mathematics; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009893354,0.0002798553,0.0005679037,0.0001852727,0.0002887926,0.000178108,0.0003476177,0.0007683751,0.0005089096],"category_scores_gemma":[0.00004047883,0.0002607935,0.0001563648,0.0003265904,0.0006711896,0.0001232013,0.0001113894,0.0004986307,0.000005125672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003598573,"about_ca_system_score_gemma":0.0001866566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04185345,"about_ca_topic_score_gemma":0.01346328,"domain_scores_codex":[0.9971094,0.0001718389,0.0004794918,0.0005651488,0.001265036,0.0004091016],"domain_scores_gemma":[0.9988475,0.0001557497,0.0003873703,0.0002535499,0.00012863,0.0002271775],"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":[0.000005163473,0.0002613767,0.009939023,0.0001311472,0.0001030927,0.00008956972,0.002565686,1.291022e-7,0.001454519,0.0004176192,0.8078431,0.1771896],"study_design_scores_gemma":[0.000395824,0.0001056058,0.07996889,0.0002060312,0.000124606,0.00001246379,0.001043142,0.000001769645,0.000113585,0.0005658952,0.9168245,0.0006376718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3312895,0.005848963,0.00009500852,0.0004547353,0.001549445,0.0006996093,0.002049309,0.0002122739,0.6578011],"genre_scores_gemma":[0.8945268,0.007905401,0.0002345582,0.00005619012,0.00019286,0.00001251136,0.001050882,0.00002888161,0.09599191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5632372,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03364512408848204,"score_gpt":0.3168501635472062,"score_spread":0.2832050394587242,"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."}}