{"id":"W4389606960","doi":"10.1111/pan.14811","title":"The pediatric anesthesiology publication activity and landscape over the past two decades: A longitudinal scientometric analysis","year":2023,"lang":"en","type":"article","venue":"Pediatric Anesthesia","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Anesthesiology; Bibliometrics; Library science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","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":[0.02133766,0.0005936125,0.001287442,0.05832107,0.001091688,0.00467875,0.0008866544,0.0006620866,0.003489879],"category_scores_gemma":[0.08043556,0.0003705021,0.003198092,0.08908778,0.0009718695,0.004702109,0.002876895,0.0007054514,0.001107471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487839,"about_ca_system_score_gemma":0.003406903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323859,"about_ca_topic_score_gemma":0.003307012,"domain_scores_codex":[0.9830307,0.003364126,0.005797328,0.001760724,0.005191981,0.0008552165],"domain_scores_gemma":[0.8610258,0.05311487,0.05825082,0.005304812,0.01899463,0.003309035],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001788947,0.00004134808,0.9786145,0.001343076,0.0008688928,0.0001436737,0.001047576,0.0002602304,0.0001389225,0.0002870241,0.001386529,0.01568942],"study_design_scores_gemma":[0.00001945013,0.0001149884,0.9901887,0.0005791193,0.0004218191,0.0004302647,0.001955377,0.000831845,0.0001361614,0.0003623534,0.004929278,0.00003076519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457397,0.01603897,0.001585077,0.001166085,0.00008111293,0.0004392885,0.02963771,0.0001425437,0.005169473],"genre_scores_gemma":[0.9735155,0.006153452,0.002230596,0.0001345204,0.0001602764,0.0006928505,0.01640654,0.00004372133,0.0006625866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9786624,"threshold_uncertainty_score":0.1128457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712793842709587,"score_gpt":0.3943527551865954,"score_spread":0.3230733709156367,"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."}}