{"id":"W2882978837","doi":"10.1097/01.tp.0000542884.42955.7b","title":"Transplant volumes in China","year":2018,"lang":"en","type":"article","venue":"Transplantation","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"China; Presentation (obstetrics); Government (linguistics); Transplantation; Conscience; Medicine; Political science; Law; 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":[0.001503833,0.0005882005,0.0002924967,0.004758283,0.0007951326,0.003132335,0.0007070259,0.0005302762,0.02594169],"category_scores_gemma":[0.004314643,0.000192365,0.0004736942,0.008808252,0.0008484833,0.001873421,0.001648857,0.00103417,0.002562931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004737446,"about_ca_system_score_gemma":0.004965222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03143385,"about_ca_topic_score_gemma":0.01884905,"domain_scores_codex":[0.9986779,0.0001636636,0.0001600708,0.0001585119,0.0006257435,0.0002139838],"domain_scores_gemma":[0.9972686,0.000377315,0.0005663937,0.0001249462,0.001138316,0.0005245704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002226726,0.00006209111,0.09567454,0.002266146,0.00008386197,0.0003888467,0.002212048,0.001717574,0.0007981188,0.0491639,0.5458919,0.3015182],"study_design_scores_gemma":[0.00001835652,0.0001101904,0.1361708,0.0006461836,0.0000306012,0.0003124824,0.0009253368,0.0006777864,0.0005417574,0.002406365,0.8581035,0.00005673967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2297783,0.1052416,0.00400224,0.07056599,0.02198532,0.0004407093,0.1494805,0.002823655,0.4156816],"genre_scores_gemma":[0.7371513,0.0604414,0.00278993,0.01174609,0.01052252,0.0004614697,0.07334825,0.000412416,0.1031266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03143385,"threshold_uncertainty_score":0.08678365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006725429434336233,"score_gpt":0.2431302967429782,"score_spread":0.236404867308642,"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."}}