{"id":"W4241740026","doi":"10.4095/301516","title":"Sex Composition (male) 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":"Census; Subdivision; Marital status; Composition (language); Demography; Geography; Gerontology; Psychology; Sociology; Medicine; 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":[0.0002364242,0.0002801426,0.0002190046,0.001907947,0.0006479705,0.000514045,0.0006941768,0.0001444921,0.00889619],"category_scores_gemma":[0.001085184,0.000189056,0.0003637917,0.002802916,0.0001297445,0.0003138485,0.0004417296,0.0003067869,0.00338433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241311,"about_ca_system_score_gemma":0.001773034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5673058,"about_ca_topic_score_gemma":0.7024823,"domain_scores_codex":[0.9996338,0.00002359634,0.00004018866,0.00004464681,0.0001746619,0.00008312567],"domain_scores_gemma":[0.9993336,0.00002349401,0.0001485485,0.00002428088,0.0003621585,0.0001079199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001269111,0.00007863316,0.9206021,0.0001804976,0.0001160528,0.000157645,0.001053645,0.0002498969,0.0007561789,0.0003586192,0.04916105,0.02715875],"study_design_scores_gemma":[0.000006355691,0.00002159331,0.9874547,0.00002905227,0.00001149191,0.0001170392,0.0008043781,0.0000959695,0.00008908002,0.00002317236,0.01134231,0.000005027468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.600055,0.002694254,0.0004759928,0.0003207644,0.0001096298,0.0003350452,0.3578379,0.0001568424,0.03801464],"genre_scores_gemma":[0.7588069,0.005924123,0.001043892,0.0003532163,0.00005924061,0.0002776936,0.1870077,0.00006891233,0.04645826],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5673058,"threshold_uncertainty_score":0.8704848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258570466413729,"score_gpt":0.3228067272836499,"score_spread":0.2902210226195126,"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."}}