{"id":"W4239687038","doi":"10.4095/301508","title":"Sex Composition (male) by Marital Status, 2006 - Widowed (by census subdivision)","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); Marital status; Gerontology; Geography; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001247797,0.0004358159,0.0005908133,0.0002009984,0.0008391068,0.0004229417,0.0005345057,0.00111816,0.00518173],"category_scores_gemma":[0.00007728931,0.0003828667,0.0002696276,0.0004122188,0.0005816043,0.0002450152,0.0001214651,0.0009524988,0.00007356916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457968,"about_ca_system_score_gemma":0.001107284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08173941,"about_ca_topic_score_gemma":0.03280368,"domain_scores_codex":[0.9952518,0.000277385,0.0005668998,0.0007858438,0.002190516,0.0009275319],"domain_scores_gemma":[0.9982211,0.0001781846,0.0003853703,0.0003306054,0.0003967886,0.0004879798],"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":[0.000006338123,0.000143111,0.009531085,0.00002401413,0.00007383161,0.00001171796,0.0004473424,3.500967e-8,0.00009080255,0.0004682276,0.9398612,0.04934226],"study_design_scores_gemma":[0.0001996654,0.00005246038,0.004485846,0.00003147475,0.0000700149,0.00001041346,0.0008060569,0.000002267083,0.00002638716,0.0005271221,0.9932362,0.0005520452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007848068,0.002859404,0.00008755606,0.001109796,0.002747519,0.0004265688,0.004197044,0.0003241724,0.9803998],"genre_scores_gemma":[0.5953428,0.0106144,0.0004566701,0.0002020563,0.0009488313,0.00004268419,0.007900623,0.00006253907,0.3844294],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5959705,"threshold_uncertainty_score":0.9998623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245051525574872,"score_gpt":0.3236941652975133,"score_spread":0.2912436500417646,"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."}}