{"id":"W2945263934","doi":"10.1111/petr.13455","title":"Publication trends in pediatric renal transplantation: Bibliometric analysis of literature from 1950 to 2017","year":2019,"lang":"en","type":"article","venue":"Pediatric Transplantation","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Markham Stouffville Hospital; SickKids Foundation; Hospital for Sick Children; McMaster University; University of Toronto","funders":"","keywords":"Medicine; Impact factor; Bibliometrics; Transplantation; Science Citation Index; Citation; Index (typography); Observational study; MEDLINE; Retrospective cohort study; Citation analysis; Internal medicine; Demography; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005889664,0.0006166917,0.001528057,0.1118453,0.0007236358,0.003880816,0.0008183858,0.0005073473,0.0029766],"category_scores_gemma":[0.0394152,0.000296462,0.002453794,0.1674193,0.0005586396,0.002611169,0.001540443,0.0004948702,0.0009424525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968666,"about_ca_system_score_gemma":0.003337489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005761732,"about_ca_topic_score_gemma":0.005401787,"domain_scores_codex":[0.9911617,0.001228966,0.003059378,0.0009872614,0.003158604,0.0004039392],"domain_scores_gemma":[0.95382,0.01666044,0.01861564,0.001400162,0.008581494,0.0009221567],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003174648,0.00005018996,0.8640547,0.01200132,0.003012837,0.0004924333,0.001315548,0.001262777,0.0007370636,0.001028933,0.01037087,0.1053558],"study_design_scores_gemma":[0.00002222763,0.00007159636,0.9663064,0.002341273,0.001620023,0.00124344,0.001330696,0.001207395,0.0005534182,0.0008630657,0.02438736,0.00005308795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6568315,0.190603,0.002022543,0.002494616,0.0003236122,0.0002697366,0.1355485,0.0005625969,0.01134388],"genre_scores_gemma":[0.8557602,0.08470224,0.003443168,0.0002639997,0.0006538879,0.0004025676,0.05350907,0.00009217777,0.001172702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9941103,"threshold_uncertainty_score":0.0311479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1892639072422262,"score_gpt":0.4746929017308045,"score_spread":0.2854289944885783,"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."}}