{"id":"W4249081519","doi":"10.4095/301500","title":"Sex Composition (female) by Age, 2006 - Oldest Old by Census Subdivision (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; Subdivision; Demography; Composition (language); Geography; Gerontology; Medicine; Sociology; Archaeology; Art; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002706987,0.0003741835,0.0002346254,0.002305454,0.000517999,0.0004082256,0.0006008787,0.0001669047,0.008716958],"category_scores_gemma":[0.001158369,0.0001607551,0.0003391522,0.002745731,0.000108404,0.0003108173,0.0003829558,0.000324046,0.004169797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093784,"about_ca_system_score_gemma":0.001740328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5282505,"about_ca_topic_score_gemma":0.6657069,"domain_scores_codex":[0.999666,0.00002092091,0.00003385183,0.00004240297,0.0001565697,0.00008028198],"domain_scores_gemma":[0.9991727,0.00002652396,0.0001364846,0.00002602625,0.0005439082,0.00009429378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001341535,0.00007994326,0.8243896,0.0002146738,0.00009346653,0.000194956,0.0009203208,0.0003184703,0.0009174203,0.0004469555,0.1306132,0.0416769],"study_design_scores_gemma":[0.000009139326,0.00002805374,0.9728852,0.00005162949,0.00001645497,0.0001880283,0.0009325104,0.0001227432,0.0001705709,0.00004016091,0.02554799,0.000007677683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4097742,0.002260753,0.0005680332,0.0004195746,0.0001773516,0.0004039228,0.5238394,0.0002467028,0.06231014],"genre_scores_gemma":[0.6031768,0.00588158,0.001537246,0.0005257728,0.00009091625,0.0005049065,0.3098529,0.00009953298,0.07833034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4717495,"threshold_uncertainty_score":0.9490554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821285722193427,"score_gpt":0.3227578729121237,"score_spread":0.2845450156901894,"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."}}