{"id":"W4251031869","doi":"10.1053/j.gastro.2016.09.042","title":"Reply","year":2016,"lang":"en","type":"letter","venue":"Gastroenterology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sample size determination; Medicine; Sample (material); Scopus; Family medicine; Statistics; Mathematics; MEDLINE; Political science; Law","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":[0.004514147,0.0009624661,0.001917301,0.001052035,0.005952119,0.007580648,0.002528315,0.08006423,0.01419365],"category_scores_gemma":[0.04036857,0.001127054,0.001784095,0.0008965928,0.00349658,0.004826839,0.003920069,0.05470625,0.01157343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00625679,"about_ca_system_score_gemma":0.008939488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009817027,"about_ca_topic_score_gemma":0.01554258,"domain_scores_codex":[0.9953739,0.0009175542,0.000633798,0.0006793691,0.001227062,0.001168402],"domain_scores_gemma":[0.9886842,0.004179744,0.001259856,0.000362776,0.002469864,0.003043599],"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":[0.00003058562,0.00001551678,0.0006718572,0.00003758416,0.00001838405,0.0008135719,0.0001440993,0.00003317066,0.00005431121,0.001043779,0.9940705,0.003066509],"study_design_scores_gemma":[0.0001165247,0.00004907568,0.001991448,0.0005083672,0.00006046558,0.001639661,0.001102703,0.0002712855,0.0001957552,0.007694913,0.9862452,0.0001247458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002673984,0.000726401,0.00004604129,0.9740848,0.02296201,0.0000112851,0.00005691324,0.00002059106,0.001824549],"genre_scores_gemma":[0.001236347,0.0003601682,0.00005427696,0.9783039,0.01365735,0.00002345102,0.00002227843,0.00001213155,0.006330102],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08006423,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853822730208724,"score_gpt":0.2731573207278035,"score_spread":0.2546190934257162,"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."}}