{"id":"W4254151510","doi":"10.4095/301519","title":"Sex Composition (female) by Marital Status, 2006 - Widowed (by census division)","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; Marital status; Demography; Division (mathematics); Composition (language); Gerontology; Geography; Psychology; Sociology; Medicine; Mathematics; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001207888,0.000430629,0.0005943227,0.0001907719,0.0008612162,0.0004148238,0.0005227399,0.001064884,0.003020541],"category_scores_gemma":[0.0000807804,0.0003717488,0.0002727404,0.0003974272,0.0005731694,0.0002390842,0.000137169,0.0009182932,0.00006252615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332123,"about_ca_system_score_gemma":0.0008368896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05293487,"about_ca_topic_score_gemma":0.02005722,"domain_scores_codex":[0.9952796,0.0002699093,0.0005639211,0.0007848185,0.002199121,0.0009026812],"domain_scores_gemma":[0.9982554,0.0001861225,0.0003785781,0.0003356842,0.0003658482,0.0004783843],"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":[0.00000500931,0.0001713168,0.01532902,0.0000299006,0.0000912184,0.000007390328,0.0007097057,8.180219e-8,0.00009975934,0.000486179,0.9057378,0.07733258],"study_design_scores_gemma":[0.0001937307,0.00005430851,0.007332694,0.00003775565,0.00006408894,0.000002524793,0.001003464,0.000001690569,0.0000251315,0.0007367709,0.9899954,0.0005524674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007600724,0.003116756,0.0002220997,0.0009067984,0.003030248,0.0004688243,0.004285311,0.0003887496,0.9799805],"genre_scores_gemma":[0.7571241,0.007766057,0.00052534,0.0001837716,0.0007705475,0.00004354505,0.006670455,0.0000592868,0.2268569],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7531236,"threshold_uncertainty_score":0.9998735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614694802293377,"score_gpt":0.3317125914426298,"score_spread":0.295565643419696,"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."}}