{"id":"W4256145315","doi":"10.4095/301521","title":"Sex Composition (female) by Marital Status, 2006 - Separated (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; Division (mathematics); Composition (language); Marital status; Demography; Geography; Psychology; Sociology; Mathematics; Arithmetic; Population; Art","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":[0.0002386074,0.0003044943,0.0002947148,0.001634125,0.0004541135,0.0005139866,0.0005901472,0.0001987735,0.008998422],"category_scores_gemma":[0.001281598,0.000226268,0.0003480105,0.002129594,0.0001414903,0.0003945245,0.0004707598,0.0003417095,0.003354127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000682633,"about_ca_system_score_gemma":0.0005516986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.126724,"about_ca_topic_score_gemma":0.1938219,"domain_scores_codex":[0.9996513,0.00003526638,0.00005595814,0.00007062164,0.0001238964,0.00006288939],"domain_scores_gemma":[0.9992711,0.00002660001,0.0002939935,0.00002865852,0.0002583319,0.0001212885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001661692,0.00007556137,0.9475461,0.0002189938,0.0002020369,0.000119365,0.0007855406,0.0001991161,0.0007058974,0.0003017228,0.03346901,0.01621051],"study_design_scores_gemma":[0.000009790975,0.00002891959,0.9899047,0.00003868781,0.00001349114,0.0001815953,0.0004793555,0.0001449108,0.0000681493,0.00003402538,0.009090258,0.000006138229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7391515,0.003998763,0.000630698,0.0003854581,0.0001591673,0.0002015572,0.233388,0.0001824695,0.02190245],"genre_scores_gemma":[0.8633049,0.003774761,0.0008086146,0.0004695616,0.00009507508,0.0001961638,0.1080429,0.000066952,0.02324104],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.126724,"threshold_uncertainty_score":0.2519729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938174873586607,"score_gpt":0.3467396609465197,"score_spread":0.3073579122106536,"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."}}