{"id":"W4242675069","doi":"10.4095/301497","title":"Sex Composition (male) by Age, 2006 - Early Working Years by Census Division (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; Division (mathematics); Composition (language); Demography; Geography; Genealogy; History; Sociology; Arithmetic; Mathematics; Population; Philosophy; Linguistics","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":[0.0002752434,0.0004176065,0.0002476998,0.002661858,0.0006062476,0.0004974287,0.000680722,0.0001661748,0.01030727],"category_scores_gemma":[0.001134412,0.0002051512,0.0003680061,0.003227115,0.0001137394,0.0003650766,0.000367789,0.0003485341,0.005017466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312671,"about_ca_system_score_gemma":0.002145104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5330665,"about_ca_topic_score_gemma":0.6889972,"domain_scores_codex":[0.9995976,0.00001966412,0.00004106096,0.00004795892,0.0001985883,0.00009505425],"domain_scores_gemma":[0.9990846,0.00003041084,0.0001563865,0.00002692946,0.0005875351,0.0001141345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001287555,0.0001078638,0.7609738,0.0003582034,0.0001093097,0.0001833797,0.0009913761,0.0003618337,0.0008315123,0.0004564209,0.1830262,0.05247139],"study_design_scores_gemma":[0.000009749647,0.00002923331,0.9675756,0.0000681492,0.00001492983,0.0001512103,0.0008327144,0.0001129428,0.0001490297,0.00003341033,0.03101474,0.000008433159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2901776,0.002480246,0.0004722435,0.0003351893,0.0002215015,0.0004769677,0.6549172,0.0002451726,0.05067392],"genre_scores_gemma":[0.5345476,0.008188649,0.001603479,0.000563445,0.0001108502,0.0007608745,0.3728714,0.0001047938,0.08124884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5330665,"threshold_uncertainty_score":0.9393668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04874692998382138,"score_gpt":0.3207836031080417,"score_spread":0.2720366731242203,"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."}}