{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596061,0.0004193002,0.000246989,0.002515661,0.0005654859,0.0004212262,0.0006051646,0.0001641945,0.009667275],"category_scores_gemma":[0.001155501,0.0001820173,0.0003524307,0.003192561,0.0001025067,0.0003379024,0.0003643251,0.0003570404,0.005000028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119914,"about_ca_system_score_gemma":0.001899082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5036205,"about_ca_topic_score_gemma":0.6416295,"domain_scores_codex":[0.9996461,0.00001806881,0.00003691758,0.00004095369,0.0001758503,0.00008206895],"domain_scores_gemma":[0.9991292,0.00002685495,0.0001495557,0.00002448083,0.0005747682,0.00009509864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001584835,0.000104696,0.7058391,0.00037081,0.000120277,0.0002147984,0.0008402951,0.0003547254,0.0008749122,0.0005287178,0.2351056,0.05548761],"study_design_scores_gemma":[0.00001376709,0.00003626104,0.957768,0.0000828479,0.00002282504,0.0002162092,0.0009384719,0.0001362672,0.0001846366,0.00004945616,0.04054125,0.000009945479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2651265,0.00274469,0.0005164788,0.0003977192,0.0002479342,0.0004356974,0.6647246,0.0002646,0.06554174],"genre_scores_gemma":[0.4997835,0.009052888,0.001688159,0.0006885711,0.0001409935,0.0007330157,0.4031906,0.0001080077,0.08461425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5036205,"threshold_uncertainty_score":0.9986055,"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."}}