{"id":"W4311418299","doi":"10.1097/tp.0000000000004223","title":"Gender Disparity in Asian-Pacific Countries: An Analysis of the ASTREG-WIT-KT Registry","year":2022,"lang":"en","type":"article","venue":"Transplantation","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Transplantation; Demography; Gender gap; Economic growth; Political science; Medicine; Development economics; Demographic economics; Socioeconomics; Geography; Sociology; Economics; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.002447669,0.0002758658,0.0005485754,0.003585832,0.0005643019,0.001037396,0.0007088194,0.000365121,0.002097456],"category_scores_gemma":[0.005473847,0.0002445996,0.0006054444,0.009057879,0.0004646746,0.001119343,0.001475625,0.0005404732,0.0005081419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922218,"about_ca_system_score_gemma":0.001912967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01739233,"about_ca_topic_score_gemma":0.01892823,"domain_scores_codex":[0.9982942,0.0003642658,0.0004169591,0.0002696396,0.0003747205,0.0002801823],"domain_scores_gemma":[0.9966972,0.0005059637,0.00143604,0.0002950089,0.0006330654,0.0004328637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009027593,0.00002221216,0.9946601,0.000103749,0.00005162245,0.0001980222,0.0003946405,0.00004288485,0.0000410901,0.0001337777,0.001322604,0.002939107],"study_design_scores_gemma":[0.000006904847,0.00003983421,0.9953746,0.0001135129,0.00004420651,0.0004762362,0.001915211,0.0002109037,0.00004453411,0.00007564354,0.001688331,0.000009951394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708732,0.001980375,0.0002976495,0.0004138496,0.0000428436,0.0001601603,0.02273214,0.00002404647,0.003475733],"genre_scores_gemma":[0.9825854,0.001933069,0.0004328778,0.0002151949,0.00003913859,0.0002425779,0.01418494,0.00002361053,0.0003431642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01739233,"threshold_uncertainty_score":0.0345822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209088666356805,"score_gpt":0.2932299896703879,"score_spread":0.2723211230347074,"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."}}