{"id":"W4233831672","doi":"10.4095/301511","title":"Sex Composition (male) 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); Demography; Marital status; Geography; Biology; Sociology; Mathematics; Population; Arithmetic; 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":[0.0002589567,0.0003021323,0.0003023674,0.001688495,0.0004989076,0.0005340264,0.0006258418,0.0001894614,0.008378302],"category_scores_gemma":[0.001339264,0.0002501238,0.0003647908,0.002226505,0.000144796,0.0004026119,0.0004852169,0.0003559451,0.00324899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007575957,"about_ca_system_score_gemma":0.0006172601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1406594,"about_ca_topic_score_gemma":0.222484,"domain_scores_codex":[0.999615,0.00003859673,0.00006149023,0.00007129673,0.0001464361,0.00006721056],"domain_scores_gemma":[0.9991724,0.00002892959,0.0003354085,0.00003290499,0.0002957878,0.0001345373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001694207,0.0000862766,0.9413888,0.0002719964,0.0002315808,0.0001207524,0.0009002509,0.000228417,0.0007403804,0.0003593563,0.03696959,0.01853321],"study_design_scores_gemma":[0.00000998876,0.00003113581,0.9896235,0.00004163449,0.00001510123,0.0001729684,0.0004833309,0.0001595307,0.00007325242,0.00003750431,0.009345524,0.000006472674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7209331,0.004390514,0.0007039186,0.0003740397,0.0001663489,0.0002230155,0.250199,0.0002091307,0.02280083],"genre_scores_gemma":[0.8575721,0.004170633,0.0009548289,0.0004688415,0.00009900497,0.0002140047,0.1140939,0.0000683437,0.02235843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1406594,"threshold_uncertainty_score":0.2796813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478061322721324,"score_gpt":0.3391275129332207,"score_spread":0.3043468997060075,"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."}}