{"id":"W4251280563","doi":"10.4095/301502","title":"Sex Composition (female) by Age, 2006 - Later Working Years by Census Subdivision (35 - 64 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; 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":[0.0002845771,0.0003615931,0.000226309,0.002381938,0.0005559612,0.0004968717,0.0007166062,0.0001848674,0.008960251],"category_scores_gemma":[0.001138289,0.0001755709,0.0003936731,0.002726261,0.0001265051,0.0003529914,0.000388499,0.0003205751,0.00407405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267318,"about_ca_system_score_gemma":0.001893903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5651738,"about_ca_topic_score_gemma":0.706436,"domain_scores_codex":[0.9996164,0.00002303627,0.00003822006,0.00005409048,0.0001734397,0.0000947936],"domain_scores_gemma":[0.9991606,0.00002708156,0.0001456808,0.0000293791,0.0005291238,0.0001081282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001064412,0.00007147612,0.8901526,0.0001653186,0.00008561165,0.0001536081,0.0009835631,0.0002898709,0.0008488926,0.0003405651,0.07490269,0.03189922],"study_design_scores_gemma":[0.000006580701,0.00002242688,0.9810816,0.00004052059,0.00001218546,0.00013906,0.0009091714,0.0001057507,0.0001357986,0.00002700891,0.01751265,0.000007064843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4962755,0.001997868,0.0005225345,0.0003647679,0.0001498283,0.0003928238,0.4528019,0.0002162481,0.04727851],"genre_scores_gemma":[0.6738279,0.004663611,0.001317178,0.0004255893,0.00006695092,0.0004692612,0.2482927,0.0000894184,0.07084729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5651738,"threshold_uncertainty_score":0.874774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05328407097688852,"score_gpt":0.3286069995237765,"score_spread":0.275322928546888,"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."}}