{"id":"W4244094758","doi":"10.4095/301512","title":"Sex Composition (male) by Marital Status, 2006 - Single (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; 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":[0.0002634791,0.0002897503,0.0002704206,0.002127835,0.0007135958,0.0005350146,0.0007035972,0.0001675485,0.009803825],"category_scores_gemma":[0.001193034,0.0002034021,0.0003535815,0.002966712,0.0001236459,0.0003518069,0.0004206139,0.0003206411,0.004044928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417127,"about_ca_system_score_gemma":0.001968794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5995979,"about_ca_topic_score_gemma":0.7524333,"domain_scores_codex":[0.9995971,0.00002103662,0.0000433042,0.00005716875,0.0001906326,0.00009070638],"domain_scores_gemma":[0.9991135,0.00002642891,0.000189102,0.00003369366,0.0004963053,0.0001409578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001355338,0.0001005611,0.8888614,0.0002249982,0.0001301044,0.0001696445,0.001109743,0.0003258497,0.0008046539,0.0003779995,0.07275265,0.03500688],"study_design_scores_gemma":[0.000006224367,0.00002303151,0.9864803,0.00003213925,0.00001083826,0.0001104816,0.0006321531,0.0001220791,0.0000936285,0.00002461973,0.01245901,0.000005504211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5222058,0.002129387,0.0004579763,0.0003140426,0.0001243033,0.0003146103,0.4371027,0.0001977852,0.03715341],"genre_scores_gemma":[0.7187789,0.004666514,0.00126081,0.0003321495,0.0000692,0.000302376,0.2199802,0.00008229145,0.05452743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5995979,"threshold_uncertainty_score":0.8055202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290616121891908,"score_gpt":0.3184557154414583,"score_spread":0.2755495542225392,"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."}}