{"id":"W2383316764","doi":"","title":"Bibliometric analysis on clinical research of lung transplantation from PubMed database","year":2011,"lang":"en","type":"article","venue":"Chinese Journal of Transplantation","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung transplantation; Transplantation; Bronchiolitis obliterans; Medicine; China; Intensive care medicine; Family medicine; Political science; Internal medicine; Law","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":"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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009006292,0.001287182,0.004820227,0.1979238,0.001600076,0.004577791,0.001150662,0.0009574249,0.006449425],"category_scores_gemma":[0.06236926,0.0004339857,0.003322998,0.2213303,0.0008326156,0.003724991,0.002473782,0.0005907661,0.0008890828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002914101,"about_ca_system_score_gemma":0.00756459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003413744,"about_ca_topic_score_gemma":0.004526476,"domain_scores_codex":[0.9747428,0.004403358,0.01073568,0.001754285,0.007645555,0.0007184279],"domain_scores_gemma":[0.9362505,0.03741416,0.01381893,0.001254865,0.01032816,0.000933382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008398665,0.0001907493,0.2236496,0.3159647,0.006773511,0.001740129,0.002769661,0.001650844,0.002638807,0.004594173,0.02926945,0.4099185],"study_design_scores_gemma":[0.0003510794,0.000761983,0.6744751,0.07670686,0.02664469,0.007291728,0.009887023,0.004696871,0.003318636,0.008932846,0.1866059,0.0003273648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.202147,0.624579,0.00512267,0.004919273,0.0008951283,0.002989264,0.1354386,0.0007310815,0.02317799],"genre_scores_gemma":[0.587891,0.3256196,0.01913241,0.0009708136,0.0008712178,0.00509515,0.05847717,0.0001285182,0.001814105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8020762,"threshold_uncertainty_score":0.04763037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2284059760870299,"score_gpt":0.4855538692889224,"score_spread":0.2571478932018925,"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."}}