{"id":"W4242943744","doi":"10.4095/301503","title":"Sex Composition (female) by Age, 2006 - Early Working Years by Census Subdivision (15 - 34 years old)","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; Gerontology; Medicine; Archaeology; Art; Sociology; 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":[0.0002807809,0.0003739111,0.0002322212,0.002391556,0.0005639567,0.0004804893,0.0006698872,0.0001695957,0.009332646],"category_scores_gemma":[0.001118853,0.0001769478,0.000348026,0.002801187,0.0001199545,0.0003264993,0.0003848119,0.0003142441,0.004230884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288421,"about_ca_system_score_gemma":0.002023241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.560982,"about_ca_topic_score_gemma":0.7183184,"domain_scores_codex":[0.9996349,0.00002095048,0.00003590817,0.00004745704,0.000171136,0.00008974179],"domain_scores_gemma":[0.999144,0.0000289509,0.0001400141,0.00002763787,0.0005489786,0.0001103661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001119098,0.0000785222,0.8576449,0.0002022919,0.00008205209,0.0001660873,0.001024909,0.0003208044,0.0008553201,0.0003722717,0.1007863,0.03835458],"study_design_scores_gemma":[0.00000668373,0.00002263221,0.9789624,0.00004316647,0.00001079031,0.0001322864,0.0008357168,0.0001033981,0.000141044,0.00002732878,0.01970793,0.000006659151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.435878,0.001894658,0.0005030875,0.0003391196,0.0001515292,0.0004231624,0.5125782,0.0002236364,0.04800856],"genre_scores_gemma":[0.6331676,0.005006604,0.001418864,0.0004237838,0.00007090835,0.0005022852,0.2843122,0.0000926167,0.07500516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.439018,"threshold_uncertainty_score":0.883207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05523248537368634,"score_gpt":0.3268178353464138,"score_spread":0.2715853499727275,"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."}}