{"id":"W4403819496","doi":"10.3386/w33075","title":"Nonbinary and Transgender Identities and Earnings: Evidence from a National Census","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Dalhousie University","keywords":"Census; Earnings; Demographic economics; Geography; American Community Survey; Political science; Genealogy; Demography; Sociology; History; Business; Economics; Accounting; Population","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0008855142,0.0001625563,0.0001828937,0.00144906,0.0008651546,0.0007517003,0.0006167443,0.0001719987,0.004059301],"category_scores_gemma":[0.00741219,0.0001581241,0.0002159515,0.003147785,0.0004090156,0.0005509033,0.001200648,0.000412808,0.0004199058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331544,"about_ca_system_score_gemma":0.002817942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.712725,"about_ca_topic_score_gemma":0.8338082,"domain_scores_codex":[0.9991125,0.000159889,0.0000757556,0.0001092419,0.0003246012,0.0002180417],"domain_scores_gemma":[0.9935105,0.000734414,0.002594712,0.0004805035,0.002098704,0.0005812169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000718987,0.00002731076,0.987003,0.00004589136,0.00003706029,0.00003563128,0.000662741,0.0000580322,0.00006347132,0.0006673763,0.003541687,0.007785856],"study_design_scores_gemma":[0.000004071333,0.000006956358,0.9962562,0.00003427159,0.0000139576,0.00002552903,0.0009751152,0.00008281985,0.0000492108,0.00009509442,0.002452523,0.000004102928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518942,0.001674912,0.0003167541,0.0009626577,0.00003389431,0.00004509587,0.03278206,0.00001191579,0.01227841],"genre_scores_gemma":[0.9812673,0.001527345,0.0002509458,0.0001530206,0.00001734843,0.00003019028,0.01450175,0.000007113476,0.002245045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.712725,"threshold_uncertainty_score":0.5779335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3996518829931276,"score_gpt":0.5243282550710922,"score_spread":0.1246763720779646,"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."}}