{"id":"W2942091186","doi":"10.1016/j.ecl.2019.01.001","title":"Size and Distribution of Transgender and Gender Nonconforming Populations","year":2019,"lang":"en","type":"article","venue":"Endocrinology and Metabolism Clinics of North America","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":220,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transgender; Demography; Gender identity; Population; Medicine; Geography; Sociology; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001048614,0.0001374058,0.0004700454,0.00008168165,0.0000841877,0.000004648354,0.00007692921,0.00009914183,0.0001078136],"category_scores_gemma":[0.00008991723,0.0001322381,0.00006056326,0.0001235396,0.0003939004,0.0000974353,0.00004711044,0.0002136836,0.00001024943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003300592,"about_ca_system_score_gemma":0.00004284089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008959289,"about_ca_topic_score_gemma":0.00009381561,"domain_scores_codex":[0.9987227,0.0001147664,0.0005065094,0.0002687514,0.00007871294,0.000308539],"domain_scores_gemma":[0.9990086,0.0003084514,0.0002745109,0.0002340423,0.00006803063,0.0001063429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008942171,0.00008872076,0.8965669,0.0002197538,0.0001074058,0.000002249797,0.00125769,0.000002902517,0.00001862075,0.02008277,0.0001290246,0.08143455],"study_design_scores_gemma":[0.001098345,0.0001000105,0.9777183,0.000002141293,0.0001802984,0.0000300566,0.000179851,0.00000990277,0.000003010051,0.001544566,0.01902173,0.0001117667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902968,0.006168599,0.0002146233,0.000310112,0.0006393216,0.0002147723,0.000179124,0.00001567664,0.001960976],"genre_scores_gemma":[0.9916911,0.00711009,0.0003699203,0.0002511244,0.00008201312,0.000007801414,0.00004351201,0.0000101909,0.000434254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08132278,"threshold_uncertainty_score":0.5392515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.048931558914161,"score_gpt":0.370906589094451,"score_spread":0.3219750301802899,"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."}}