{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.003311125,0.0001413351,0.0006128179,0.03834197,0.00005348017,0.00001328819,0.0001928577,0.0001202546,0.0003935468],"category_scores_gemma":[0.001115363,0.0000869958,0.0003911605,0.04059948,0.0001089468,0.000267232,0.000005899037,0.0006307149,0.000009593157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005351412,"about_ca_system_score_gemma":0.0001966876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002613485,"about_ca_topic_score_gemma":0.00004891604,"domain_scores_codex":[0.9961957,0.0004673265,0.00104509,0.0002176334,0.00178371,0.0002905648],"domain_scores_gemma":[0.9967054,0.001512557,0.0003257028,0.000250444,0.0006442905,0.0005615742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01168071,0.001504215,0.9624641,0.0003220768,0.002443942,0.001506094,0.000749697,0.00000473311,0.0009629198,0.00002928938,0.0001328564,0.01819938],"study_design_scores_gemma":[0.005062183,0.001176077,0.9873012,0.0002354355,0.002403412,0.00006316967,0.00002939479,0.000183568,0.003250533,0.0002270984,0.000006394597,0.00006147781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905694,0.0004755388,0.007073162,0.0001003191,0.0001627174,0.000290708,0.000255399,0.000006906907,0.001065891],"genre_scores_gemma":[0.9864495,0.01127418,0.001582418,0.0000382559,0.0001861568,0.000008932309,0.0004187359,0.00001289671,0.00002894071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02483717,"threshold_uncertainty_score":0.9797931,"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."}}