{"id":"W4240471256","doi":"10.4095/301505","title":"Sex Composition (female) by Age, 2006 - Golden Years by Census Division (65 - 79 years old)","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; Division (mathematics); Composition (language); Geography; Genealogy; History; Mathematics; Sociology; Population; Arithmetic; Philosophy; Linguistics","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":[0.0002360129,0.0004260683,0.0002533181,0.002616821,0.0005468341,0.0004643857,0.0006223,0.0001777001,0.01019603],"category_scores_gemma":[0.001106061,0.0001766542,0.0003892762,0.003530799,0.0001188312,0.0003741844,0.0003898346,0.0003563892,0.004857915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375481,"about_ca_system_score_gemma":0.002233445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5754871,"about_ca_topic_score_gemma":0.7010811,"domain_scores_codex":[0.9995986,0.00001988669,0.00003932169,0.00005065317,0.0001938722,0.00009774694],"domain_scores_gemma":[0.9992082,0.00002154243,0.0001321318,0.0000198097,0.000524289,0.00009413279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001690272,0.00009322321,0.7388228,0.000359502,0.000129622,0.0002084145,0.0007753361,0.0003496279,0.000800009,0.0004968321,0.2108066,0.04698909],"study_design_scores_gemma":[0.00001294738,0.00002956122,0.9617626,0.00007589455,0.00002098134,0.0001938762,0.0008789033,0.0001223792,0.000152056,0.00004286203,0.03669944,0.000008531968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.26357,0.002615427,0.0004480702,0.0004255725,0.0002528291,0.0004109808,0.6756636,0.0002252907,0.05638819],"genre_scores_gemma":[0.4875691,0.007531687,0.001241417,0.0006149884,0.0001179999,0.000619015,0.4206551,0.00009689766,0.08155384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4245129,"threshold_uncertainty_score":0.8540258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04299125153491523,"score_gpt":0.334093929238249,"score_spread":0.2911026777033338,"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."}}