{"id":"W4234819837","doi":"10.4095/301526","title":"Sex Composition (female) by Marital Status, 2006 - Divorced (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":"Subdivision; Census; Demography; Composition (language); Marital status; Gerontology; Geography; Psychology; Medicine; Sociology; Art; Archaeology; 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":[0.0002272173,0.0002710675,0.0002126451,0.00184567,0.0005952073,0.000492221,0.0006561371,0.0001472415,0.008969193],"category_scores_gemma":[0.001052191,0.000172926,0.0003398419,0.002647851,0.0001267836,0.0003087269,0.000432507,0.0002905645,0.00325032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113315,"about_ca_system_score_gemma":0.001544871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5309183,"about_ca_topic_score_gemma":0.6686672,"domain_scores_codex":[0.999667,0.00002234855,0.0000372739,0.00004389493,0.0001526015,0.00007675333],"domain_scores_gemma":[0.9993916,0.00002226123,0.0001387566,0.00002205162,0.000323956,0.0001014033],"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":[0.0001215336,0.00006644322,0.9325523,0.0001429109,0.00009802596,0.0001518512,0.0009240441,0.0002179672,0.0007058502,0.0003039874,0.0416362,0.02307893],"study_design_scores_gemma":[0.000006082738,0.00001990717,0.9880425,0.00002663902,0.00001018793,0.0001243599,0.0007870808,0.000088514,0.0000858259,0.00002097694,0.01078323,0.00000474462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.641661,0.002447106,0.0004348385,0.0003235869,0.0001015323,0.0002864054,0.3186596,0.0001314618,0.03595453],"genre_scores_gemma":[0.776601,0.005222057,0.0009250149,0.0003397239,0.00005530065,0.0002454257,0.1701441,0.00006401267,0.04640342],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5309183,"threshold_uncertainty_score":0.9436885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369842478127353,"score_gpt":0.3305328939838561,"score_spread":0.2935486461711208,"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."}}