{"id":"W4236308961","doi":"10.4095/301493","title":"Sex Composition (male) 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; Archaeology; Sociology; Art; 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":[0.0002999673,0.0003980977,0.0002465434,0.002534257,0.0006180148,0.0005040502,0.0007208958,0.0001715617,0.009228071],"category_scores_gemma":[0.001167954,0.0002016084,0.0003816594,0.002997018,0.0001216276,0.000337592,0.000396697,0.0003365804,0.004553815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432471,"about_ca_system_score_gemma":0.002275321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5871145,"about_ca_topic_score_gemma":0.742128,"domain_scores_codex":[0.9995905,0.00002202684,0.00003998771,0.00004899074,0.0001992829,0.00009928201],"domain_scores_gemma":[0.9990308,0.00003120009,0.000155777,0.00003105011,0.0006302535,0.0001209078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001156241,0.00009355539,0.8315628,0.0002615851,0.00009583585,0.0001677904,0.001141801,0.0003656033,0.0009196237,0.0004311028,0.1205766,0.04426804],"study_design_scores_gemma":[0.000007179094,0.00002559623,0.9775509,0.00004858019,0.00001210252,0.000126629,0.0008205788,0.000113232,0.0001422171,0.00002971443,0.02111596,0.000007296559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3771763,0.001990303,0.0005092871,0.0003064103,0.0001556674,0.0004622223,0.5719621,0.0002588404,0.04717886],"genre_scores_gemma":[0.5958472,0.005662659,0.001599421,0.0004334717,0.00007579874,0.0005886237,0.3224349,0.00009965856,0.07325824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5871145,"threshold_uncertainty_score":0.8306341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04972800846832431,"score_gpt":0.3205538617880577,"score_spread":0.2708258533197334,"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."}}