{"id":"W4255056316","doi":"10.4095/301489","title":"Sex Composition (male) 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); Biology; Geography; Gerontology; Medicine; Sociology; Population; Mathematics; 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":[0.0003041876,0.00042075,0.0003013892,0.002782913,0.0005912619,0.0005811213,0.000623541,0.0001774241,0.008976422],"category_scores_gemma":[0.001147993,0.0002177831,0.0004463094,0.003684646,0.0001168085,0.0004117565,0.0004279393,0.0003932634,0.004819678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345331,"about_ca_system_score_gemma":0.002353709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5033038,"about_ca_topic_score_gemma":0.6578378,"domain_scores_codex":[0.9994854,0.00002554402,0.00005288751,0.00005475735,0.0002604558,0.0001209129],"domain_scores_gemma":[0.9991142,0.00002511594,0.0001594845,0.00002152111,0.0005739069,0.0001057386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001391545,0.0001025764,0.7920436,0.0003791005,0.0001251678,0.0001772016,0.0009488659,0.0003036948,0.0006558933,0.0004771566,0.1573129,0.04733455],"study_design_scores_gemma":[0.00000943846,0.00003377748,0.96946,0.00006683122,0.00002262239,0.0001596559,0.0009695222,0.0001196654,0.0001597217,0.00003326695,0.02895794,0.000007721334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3069484,0.002587119,0.0004006312,0.0003551437,0.0002328798,0.0003630052,0.6481555,0.0002541487,0.04070314],"genre_scores_gemma":[0.5048703,0.008547167,0.001282781,0.0004993737,0.0001169726,0.0006255147,0.423818,0.000107863,0.06013194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4966962,"threshold_uncertainty_score":0.9992427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05991834339607856,"score_gpt":0.3295999611955108,"score_spread":0.2696816177994322,"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."}}