{"id":"W4234519574","doi":"10.4095/301490","title":"Sex Composition (male) by Age, 2006 - Later Working Years by 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":"Subdivision; Composition (language); Demography; Geography; Gerontology; Art; Medicine; Sociology; Archaeology; Literature","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":[0.0002839814,0.000336085,0.0002420959,0.002329423,0.0006276847,0.0005569726,0.0007875819,0.000204605,0.007980328],"category_scores_gemma":[0.0009990742,0.0002072818,0.0005079352,0.002565904,0.0001434787,0.0003502592,0.0004179123,0.0003508936,0.003967513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297334,"about_ca_system_score_gemma":0.001879793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5288079,"about_ca_topic_score_gemma":0.6999376,"domain_scores_codex":[0.9995885,0.0000229428,0.00003696023,0.00005420005,0.0001805504,0.0001168089],"domain_scores_gemma":[0.9991521,0.00002935331,0.0001651627,0.00003174052,0.000496492,0.0001251904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009181257,0.00006663772,0.9338195,0.0001250573,0.00008162273,0.0001392892,0.0009425227,0.0002344695,0.0007459936,0.0002681809,0.03453874,0.02894621],"study_design_scores_gemma":[0.000004828445,0.00002334346,0.9890925,0.00003173514,0.00001150496,0.0001239862,0.0007772609,0.0000757691,0.00009532367,0.00002109563,0.00973691,0.000005781251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6889085,0.002253135,0.0004589629,0.000336558,0.0001157204,0.0003070894,0.2603766,0.0002103862,0.047033],"genre_scores_gemma":[0.7891679,0.00444614,0.001108447,0.0003893288,0.00005828772,0.0003407043,0.1451819,0.00007896165,0.05922836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5288079,"threshold_uncertainty_score":0.947934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305288219322029,"score_gpt":0.3195827842360142,"score_spread":0.2765299020427939,"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."}}