{"id":"W4230546406","doi":"10.4095/301295","title":"Age Structure, 2001 - Oldest Old by Census Division (75 years of age and older)","year":2010,"lang":"en","type":"report","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Age structure; Demography; Gerontology; Sociology; Medicine; Population; Mathematics; Arithmetic","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":[0.0005920533,0.00081304,0.0005081877,0.005382793,0.001176898,0.001036045,0.001339601,0.000470351,0.01240851],"category_scores_gemma":[0.004718747,0.0003464057,0.0006303329,0.01027375,0.0002662932,0.0008810054,0.000811119,0.001472142,0.006566489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004452761,"about_ca_system_score_gemma":0.007856157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7894456,"about_ca_topic_score_gemma":0.7760974,"domain_scores_codex":[0.9990842,0.00003751363,0.0001187954,0.000130672,0.0003659258,0.0002629867],"domain_scores_gemma":[0.9957055,0.00009242818,0.0005661767,0.00007663896,0.003148828,0.0004103869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002226203,0.00007604811,0.2473393,0.000929939,0.0001215725,0.0001052847,0.000523834,0.0005127155,0.0002440815,0.001207315,0.7258211,0.02289627],"study_design_scores_gemma":[0.0000541053,0.0000417647,0.9130651,0.000379852,0.00005533093,0.000173148,0.0006931974,0.000278924,0.00008174535,0.0001928002,0.08495742,0.00002663269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03102648,0.002997572,0.0002461867,0.0006713759,0.0002898828,0.000216004,0.9453623,0.0002047733,0.01898543],"genre_scores_gemma":[0.1153731,0.005731484,0.0009556605,0.0009815278,0.0001868697,0.0007495838,0.8562179,0.0001054142,0.01969844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7894456,"threshold_uncertainty_score":0.4235887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618321321790085,"score_gpt":0.3227526012342257,"score_spread":0.2965693880163249,"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."}}