{"id":"W4238654454","doi":"10.4095/301520","title":"Sex Composition (female) by Marital Status, 2006 - Separated (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; Composition (language); Geography; Demography; 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":[0.001226788,0.0004525814,0.0006196115,0.0002071766,0.0008282306,0.0004405983,0.0004905299,0.0011991,0.003480622],"category_scores_gemma":[0.00006365798,0.0003962762,0.0002446045,0.0005535897,0.0005333895,0.0002419331,0.000105205,0.0009467502,0.00009474841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493377,"about_ca_system_score_gemma":0.001082405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05989748,"about_ca_topic_score_gemma":0.02079257,"domain_scores_codex":[0.9953009,0.0003208237,0.0005978202,0.000804948,0.002039131,0.0009363756],"domain_scores_gemma":[0.9981333,0.0001592856,0.0003945928,0.0003160146,0.0005096737,0.000487143],"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":[0.000008025268,0.0001630839,0.01099016,0.00002575261,0.00009942958,0.000009352662,0.0005979828,1.359009e-7,0.0001109369,0.0004144399,0.9623607,0.02522004],"study_design_scores_gemma":[0.000198929,0.00005777877,0.004791636,0.00003142101,0.00007521818,0.000004366292,0.0008218772,0.00000614287,0.00005150598,0.0003432715,0.9930347,0.0005831132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01979709,0.003176657,0.00006068681,0.0005161544,0.002425322,0.0004783583,0.005217713,0.0004427527,0.9678853],"genre_scores_gemma":[0.685351,0.008671851,0.0002603487,0.0001425074,0.0006813446,0.00004057742,0.01125976,0.00006011028,0.2935325],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6743528,"threshold_uncertainty_score":0.9998489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015468685078779,"score_gpt":0.3465227077873705,"score_spread":0.3063680209365827,"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."}}