{"id":"W4250562755","doi":"10.4095/301515","title":"Sex Composition (male) by Marital Status, 2006 - Married (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); Marital status; Composition (language); Demography; Geography; Genealogy; Sociology; History; Mathematics; Population; Art; Arithmetic","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":[0.0002652839,0.0002895225,0.0002887454,0.001636073,0.0004808153,0.0005316442,0.0005420995,0.0001729077,0.009851786],"category_scores_gemma":[0.00142964,0.0002425818,0.0003405285,0.002096767,0.000127593,0.0004149847,0.0004190125,0.0003205528,0.003685903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006509511,"about_ca_system_score_gemma":0.0005661951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1021872,"about_ca_topic_score_gemma":0.159012,"domain_scores_codex":[0.9996419,0.00003393916,0.00005986892,0.00007047861,0.0001343045,0.00005960157],"domain_scores_gemma":[0.9993083,0.0000271067,0.0002840933,0.00002860539,0.0002463772,0.0001054511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001509823,0.00007975527,0.923426,0.000290844,0.0001945573,0.000109414,0.0007125971,0.0002389886,0.0007473486,0.0003958031,0.05069778,0.02295591],"study_design_scores_gemma":[0.00001001144,0.00003353602,0.9865166,0.00004709556,0.00001528552,0.0001768127,0.0004163292,0.0001626394,0.00008156644,0.0000432305,0.01249051,0.000006376226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.625278,0.005879832,0.0009098616,0.000458737,0.000233845,0.0003136799,0.3347546,0.0002652534,0.03190626],"genre_scores_gemma":[0.8364208,0.006403361,0.001117733,0.0006074824,0.0001447084,0.000300428,0.1277267,0.00008978748,0.02718905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1021872,"threshold_uncertainty_score":0.2031848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291474738784848,"score_gpt":0.3243175245783297,"score_spread":0.2914027771904812,"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."}}