{"id":"W4250657258","doi":"10.4095/301496","title":"Sex Composition (male) 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); Division (mathematics); Demography; Geography; Genealogy; History; Sociology; Art; Arithmetic; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001174837,0.0003355764,0.0004979455,0.0002201071,0.0004193051,0.000452248,0.0005436121,0.001016225,0.001892418],"category_scores_gemma":[0.00002293187,0.000316562,0.000249783,0.0003979247,0.0003694505,0.0001409541,0.0001378262,0.0008495114,0.00007027604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009035727,"about_ca_system_score_gemma":0.0002336613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106106,"about_ca_topic_score_gemma":0.009762184,"domain_scores_codex":[0.9962914,0.0002182235,0.0004708613,0.0007055308,0.001652843,0.0006611574],"domain_scores_gemma":[0.9989174,0.000106654,0.0003255859,0.0003084664,0.0000888357,0.0002530424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003942539,0.00009180562,0.008491813,0.00001564423,0.00007908754,0.00006605545,0.001364248,6.458762e-7,0.0001874224,0.0000745926,0.8413212,0.1483036],"study_design_scores_gemma":[0.000161546,0.00002951052,0.01386709,0.000110022,0.00005699329,0.00000611324,0.0003507232,0.000002383185,0.00001856942,0.000358657,0.9845506,0.0004878126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1119187,0.002631446,0.00008633376,0.0005342694,0.004133606,0.0005092672,0.0006611459,0.0004278462,0.8790974],"genre_scores_gemma":[0.7721939,0.003302922,0.0002395068,0.0001410783,0.0006184814,0.00001740599,0.001290594,0.00004861291,0.2221475],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6602752,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0468949220061873,"score_gpt":0.3223768933349422,"score_spread":0.2754819713287549,"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."}}