{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","scholarly_communication","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.007215534,0.0002789267,0.0006937652,0.7959818,0.00008879007,0.001206689,0.001729037,0.000286901,0.001421136],"category_scores_gemma":[0.001685605,0.0002332024,0.0003831992,0.9270696,0.00002389807,0.001554914,0.00005425439,0.0003497622,0.0003804524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009718281,"about_ca_system_score_gemma":0.0001459516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004086787,"about_ca_topic_score_gemma":0.0002865482,"domain_scores_codex":[0.9892605,0.0003499016,0.001726809,0.00123313,0.006829777,0.0005998805],"domain_scores_gemma":[0.9922044,0.003520889,0.0006372034,0.0008476528,0.002376983,0.0004129314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001928753,0.0001723301,0.9724439,0.00004311101,0.00004460173,0.00001996516,0.001191403,0.002086875,0.0001977287,0.00007844035,0.001471648,0.02205705],"study_design_scores_gemma":[0.001106329,0.0001382603,0.9945273,0.000006333074,0.0006152596,0.000003037052,0.00001825487,0.002715243,0.000180825,0.0002011657,0.0002226404,0.0002653819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857872,0.001578701,0.007143563,0.0004442825,0.0004572373,0.0003522535,0.001602098,0.00003519903,0.002599471],"genre_scores_gemma":[0.9798264,0.01630691,0.001275294,0.00007134444,0.0002319404,0.00003017297,0.001713219,0.00001600408,0.0005287561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310878,"threshold_uncertainty_score":0.9998301,"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."}}