{"id":"W4254079696","doi":"10.4095/301506","title":"Sex Composition (female) by Age, 2006 - Later Working Years by Census Division (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; Composition (language); Demography; Division (mathematics); Geography; Sociology; Mathematics; Population; Art; 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":[0.000257053,0.0003783795,0.0002273154,0.002502644,0.0005401351,0.0004857972,0.0006805307,0.0001791034,0.01010346],"category_scores_gemma":[0.001087063,0.0001761575,0.0003761044,0.002944508,0.0001183568,0.0003782517,0.0003603211,0.0003279705,0.004500364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140137,"about_ca_system_score_gemma":0.001783136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5075729,"about_ca_topic_score_gemma":0.6435366,"domain_scores_codex":[0.9996259,0.00002021075,0.00003911449,0.00005293613,0.0001718018,0.00008996584],"domain_scores_gemma":[0.999213,0.00002662361,0.0001463143,0.00002543095,0.0004875906,0.0001010993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000123712,0.00008653909,0.8404481,0.0002333262,0.0001017143,0.000173413,0.0008817327,0.0002978172,0.000798569,0.000371291,0.1170452,0.03943864],"study_design_scores_gemma":[0.000008943692,0.0000256068,0.972937,0.00005598552,0.00001537989,0.0001672007,0.0009312794,0.0001064389,0.0001454883,0.00003033395,0.02556825,0.000008151724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4016428,0.002511764,0.0005036022,0.0004092719,0.0002186358,0.0004238043,0.5408852,0.0002132725,0.0531917],"genre_scores_gemma":[0.6144931,0.006737406,0.00132235,0.0005552389,0.0001000504,0.0006121571,0.2959101,0.00009515819,0.08017433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4924271,"threshold_uncertainty_score":0.9906542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05224782715020776,"score_gpt":0.3288341786813282,"score_spread":0.2765863515311205,"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."}}