{"id":"W4238712690","doi":"10.4095/301509","title":"Sex Composition (male) 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); Geography; Gerontology; Sociology; Medicine; Population; Mathematics; Art; 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":[0.0002274297,0.0002572214,0.0002395062,0.001316715,0.0004538389,0.0004709923,0.0004816339,0.0001517496,0.006865589],"category_scores_gemma":[0.001089796,0.0002253697,0.0003039229,0.001598744,0.0001204783,0.0003920059,0.0004078932,0.0002723384,0.002220713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005137875,"about_ca_system_score_gemma":0.0004404834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1008903,"about_ca_topic_score_gemma":0.1728178,"domain_scores_codex":[0.9997408,0.00002600072,0.00004573254,0.00005163375,0.00008449837,0.00005126835],"domain_scores_gemma":[0.9994709,0.00002063919,0.0002325125,0.00002377864,0.0001704931,0.00008172798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001463682,0.00005920717,0.9592347,0.0001608669,0.0001685523,0.00008377786,0.0006618812,0.0001524129,0.0007253775,0.0002296857,0.02053444,0.0178427],"study_design_scores_gemma":[0.000007902471,0.00003503486,0.9923295,0.00003228791,0.00001586787,0.0001638779,0.0004503384,0.0001255252,0.0001001198,0.00002895736,0.006704793,0.000005776903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283302,0.003488893,0.0006589528,0.0002499335,0.0001075626,0.0001940133,0.1509848,0.0001625945,0.01582308],"genre_scores_gemma":[0.9098331,0.003779863,0.000874725,0.0003482601,0.00006578967,0.0001842307,0.06798586,0.00004818024,0.01687986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008903,"threshold_uncertainty_score":0.2006062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181189083250024,"score_gpt":0.3239639864207089,"score_spread":0.2921520955882086,"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."}}