{"id":"W2084164455","doi":"10.1016/s1473-3099(13)70242-1","title":"Sampling bias in transgender studies","year":2013,"lang":"en","type":"letter","venue":"The Lancet Infectious Diseases","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Transgender; Sampling (signal processing); Sampling bias; Medicine; Statistics; Computer science; Psychology; Mathematics; Sample size determination; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2181925,0.000684363,0.002474182,0.003025115,0.006477953,0.005777704,0.004675956,0.04008551,0.005763003],"category_scores_gemma":[0.4454995,0.001553504,0.001977288,0.003240742,0.01472667,0.006519184,0.004902595,0.02494508,0.00272686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006514199,"about_ca_system_score_gemma":0.01101422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217968,"about_ca_topic_score_gemma":0.04059653,"domain_scores_codex":[0.7455124,0.2064774,0.01851215,0.007901369,0.01772764,0.003869028],"domain_scores_gemma":[0.455982,0.4898671,0.01657406,0.01195531,0.01850495,0.007116581],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004673146,0.0001522382,0.03437714,0.002455711,0.0005127047,0.003247193,0.01201774,0.0003063088,0.0005340286,0.06786131,0.7583795,0.1196888],"study_design_scores_gemma":[0.001386803,0.00062393,0.03780973,0.01817928,0.001027789,0.00572437,0.01490073,0.005075169,0.001671355,0.2087339,0.7043689,0.0004979368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004235401,0.006825999,0.003848371,0.9674382,0.01019659,0.0002619429,0.0001970162,0.00006305874,0.00693346],"genre_scores_gemma":[0.02799166,0.002236725,0.004054997,0.9490755,0.01373511,0.0006819411,0.00005781653,0.00006424337,0.002101956],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7818074,"threshold_uncertainty_score":0.9641078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2599624802900551,"score_gpt":0.4399953596325681,"score_spread":0.1800328793425129,"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."}}