{"id":"W4253034331","doi":"10.4095/301499","title":"Sex Composition (female) by Age, 2006 - Youth by Census Division (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; Composition (language); Demography; Division (mathematics); Geography; Gerontology; Psychology; Medicine; 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":[0.0002886827,0.0003990263,0.000284889,0.002661259,0.0005455896,0.0005609882,0.0005738148,0.0001784393,0.009160715],"category_scores_gemma":[0.001107586,0.0001900388,0.0004173084,0.003489186,0.0001154816,0.0004006439,0.0004108507,0.000372119,0.004506507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226414,"about_ca_system_score_gemma":0.002151257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.48583,"about_ca_topic_score_gemma":0.63569,"domain_scores_codex":[0.9995382,0.00002453239,0.00004803919,0.00005359313,0.0002243988,0.0001113156],"domain_scores_gemma":[0.9992,0.00002430989,0.0001438853,0.00001972362,0.0005139235,0.00009809731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000134016,0.00008868754,0.8150536,0.0003018111,0.0001084053,0.0001770387,0.0008775625,0.0002708076,0.0006006713,0.0004208494,0.1397492,0.04221729],"study_design_scores_gemma":[0.000008636118,0.00002941245,0.9710207,0.00005914968,0.00002025146,0.0001643365,0.0009841062,0.0001084436,0.000153914,0.00003046001,0.02741363,0.000006933164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3470108,0.002450052,0.0003917213,0.0003953118,0.0002265074,0.0003453073,0.6068821,0.0002241486,0.04207409],"genre_scores_gemma":[0.5328221,0.007649765,0.00114177,0.0004970866,0.0001106994,0.0005596111,0.3943012,0.0001040362,0.0628137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.48583,"threshold_uncertainty_score":0.9660043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0664290527177077,"score_gpt":0.3358627766174463,"score_spread":0.2694337238997386,"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."}}