{"id":"W2973013385","doi":"10.1016/j.clinre.2019.08.006","title":"How to handle scientific articles on organ transplantation coming from China in 2019?","year":2019,"lang":"en","type":"editorial","venue":"Clinics and Research in Hepatology and Gastroenterology","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Transplantation Society; International Society of Nephrology","keywords":"Medicine; Pandemic; Intensive care medicine; Transplantation; Coronavirus disease 2019 (COVID-19); Perspective (graphical); Circulatory system; Lung transplantation; Disease; Organ transplantation; Heart transplantation; Engineering ethics; Surgery; Pathology; Infectious disease (medical specialty); Cardiology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02500839,0.003999758,0.004501069,0.009194285,0.004857726,0.01539322,0.003433544,0.0222641,0.01815236],"category_scores_gemma":[0.07927617,0.00136365,0.003688595,0.003372605,0.003265717,0.006772916,0.003777473,0.02059427,0.008305894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006625554,"about_ca_system_score_gemma":0.01331231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004039017,"about_ca_topic_score_gemma":0.01149344,"domain_scores_codex":[0.985245,0.003121224,0.002982979,0.0009880682,0.006560449,0.00110221],"domain_scores_gemma":[0.9094737,0.03106205,0.007485301,0.001344886,0.03679701,0.01383714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002818201,0.000008577464,0.00007733033,0.0003795367,0.00004130499,0.00009425898,0.00003068698,0.000009570075,0.00002918476,0.0001751124,0.9937313,0.005394868],"study_design_scores_gemma":[0.0001968828,0.00004395178,0.0009585736,0.002003423,0.0002573568,0.0002904021,0.0002807842,0.0001302619,0.0001080381,0.001540227,0.9941332,0.00005682828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004646923,0.007653784,0.000058493,0.0982132,0.8929222,0.0000229444,0.00007721349,0.00003229859,0.000973352],"genre_scores_gemma":[0.0004833471,0.006927108,0.0001059449,0.05531263,0.9319058,0.00003538484,0.00005438386,0.00003123202,0.005144161],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9777359,"threshold_uncertainty_score":0.1322586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03832493106365709,"score_gpt":0.3683466601720584,"score_spread":0.3300217291084013,"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."}}