{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211372,0.0002619707,0.000235425,0.001284198,0.0004091694,0.0004538231,0.0004568778,0.0001592701,0.007427251],"category_scores_gemma":[0.001057773,0.0002049729,0.0002951698,0.001546027,0.0001191683,0.0003821789,0.0003971658,0.0002652419,0.002312254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000465799,"about_ca_system_score_gemma":0.0004051595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09190374,"about_ca_topic_score_gemma":0.1513682,"domain_scores_codex":[0.9997606,0.00002442324,0.00004220127,0.00005112045,0.00007322625,0.00004855174],"domain_scores_gemma":[0.9995244,0.00001936461,0.0002067171,0.0000210055,0.0001528342,0.00007568326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001442944,0.00005331965,0.9631051,0.0001349931,0.0001524486,0.00008482609,0.0005767728,0.0001360501,0.0007015467,0.0001971882,0.01908171,0.01563171],"study_design_scores_gemma":[0.000007806333,0.0000330936,0.9925616,0.00003035299,0.00001457984,0.0001729047,0.0004453424,0.0001154732,0.0000927533,0.00002654623,0.006493981,0.000005506271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8376364,0.003205679,0.0005938481,0.0002585555,0.0001061095,0.0001766105,0.1427347,0.0001417351,0.01514632],"genre_scores_gemma":[0.9117016,0.00347544,0.0007471393,0.0003543049,0.00006497783,0.000169782,0.06593003,0.00004734001,0.01750937],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09190374,"threshold_uncertainty_score":0.1827376,"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."}}