{"id":"W4243499621","doi":"10.4095/301492","title":"Sex Composition (male) by Age, 2006 - Golden Years by Census Subdivision (65 - 79 years old)","year":2010,"lang":"en","type":"report","venue":"","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Composition (language); Demography; Genealogy; Geography; Biology; History; Archaeology; Art; Sociology; Literature; Population","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001397955,0.0003820458,0.0005912212,0.0002486414,0.0003899607,0.0004126307,0.0007215307,0.001190505,0.002631481],"category_scores_gemma":[0.00004548114,0.0003753147,0.0002940002,0.0004777727,0.0005006681,0.0001925185,0.0001359841,0.000889611,0.0001312416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217538,"about_ca_system_score_gemma":0.0004636871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06614787,"about_ca_topic_score_gemma":0.01766571,"domain_scores_codex":[0.9955983,0.00026858,0.0005345729,0.0008098371,0.002079512,0.0007092287],"domain_scores_gemma":[0.9985792,0.0001235014,0.00038247,0.0003921617,0.0001705038,0.000352161],"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":[0.000004011734,0.0001046255,0.002120217,0.00001888885,0.00006483991,0.00005708419,0.0008595797,1.250642e-7,0.0001934628,0.0002488444,0.9365339,0.05979446],"study_design_scores_gemma":[0.0002054927,0.00005147047,0.01086474,0.00005662546,0.00008089362,0.00001190574,0.0005708014,0.000001780306,0.00002602426,0.0004389492,0.9871398,0.0005515006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08922714,0.002862062,0.0000544647,0.0005911399,0.003605294,0.0006473952,0.002210203,0.0004780294,0.9003243],"genre_scores_gemma":[0.5024217,0.007730476,0.0003024638,0.0001872704,0.0009813026,0.00003383863,0.003218276,0.00007390943,0.4850507],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4152735,"threshold_uncertainty_score":0.9998699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916843319129757,"score_gpt":0.3272350160172798,"score_spread":0.2880665828259822,"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."}}