{"id":"W4229773344","doi":"10.4095/301498","title":"Sex Composition (female) by Age, 2006 - Youth by Census Subdivision (under 15 years of age)","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; Subdivision; Composition (language); Demography; Geography; Sociology; Art; Archaeology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000309297,0.0003818166,0.0002803221,0.002532718,0.0005657853,0.0005586828,0.0006124262,0.0001824216,0.008192895],"category_scores_gemma":[0.001107054,0.0001875149,0.0004337071,0.003199249,0.0001231475,0.0003689968,0.000436605,0.0003629968,0.004052754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323329,"about_ca_system_score_gemma":0.002227473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5405324,"about_ca_topic_score_gemma":0.695621,"domain_scores_codex":[0.9995472,0.00002580913,0.00004526897,0.0000532924,0.000216276,0.0001121707],"domain_scores_gemma":[0.9991751,0.00002438349,0.0001414215,0.00002182527,0.0005317176,0.0001054907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000117752,0.00007782729,0.8707612,0.0002146064,0.00009097361,0.0001614438,0.000984357,0.0002658391,0.0006319387,0.0003763959,0.09158845,0.03472919],"study_design_scores_gemma":[0.000006531045,0.00002608261,0.9797219,0.00004277076,0.0000161169,0.0001422392,0.0009584509,0.0001057367,0.0001448719,0.00002673423,0.01880252,0.000006102448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4478578,0.001989153,0.0004065103,0.0003638905,0.0001596043,0.000333617,0.5093279,0.0002272599,0.03933433],"genre_scores_gemma":[0.6056175,0.005502492,0.001174769,0.000397263,0.00007657868,0.0004555187,0.3289705,0.00009721892,0.05770813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5405324,"threshold_uncertainty_score":0.9243471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06778581400716549,"score_gpt":0.3356490465286517,"score_spread":0.2678632325214862,"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."}}