{"id":"W4405931267","doi":"10.1016/j.ijmedinf.2024.105782","title":"Knowledge domain and frontier trends of artificial intelligence applied in solid organ transplantation: A visualization analysis","year":2025,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frontier; Visualization; Transplantation; Computer science; Domain (mathematical analysis); Data science; Artificial intelligence; Medicine; Geography; Mathematics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001114573,0.00009172464,0.0004070199,0.001429268,0.00001793167,0.00002321337,0.000188951,0.0001195397,0.0001717434],"category_scores_gemma":[0.0001180208,0.00007243764,0.0001126146,0.0007975146,0.00009608148,0.0001339571,0.00001915922,0.0002097871,9.837023e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005043733,"about_ca_system_score_gemma":0.0002104826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007450643,"about_ca_topic_score_gemma":0.00005570843,"domain_scores_codex":[0.9976709,0.00004400095,0.001361247,0.00005369203,0.0007732095,0.00009688345],"domain_scores_gemma":[0.9989941,0.0002114019,0.0003341822,0.00006054416,0.0003049352,0.00009484992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00229503,0.0008842394,0.06180548,0.0008711059,0.003669254,0.0001683972,0.04024654,0.0007192644,0.0005293209,0.1093608,0.0002376122,0.779213],"study_design_scores_gemma":[0.01906242,0.001164379,0.5571448,0.006936869,0.008465622,0.001543858,0.03987226,0.2823777,0.0407023,0.03731382,0.004344911,0.001071101],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2244497,0.0001239365,0.77241,0.001157423,0.0003290099,0.00005181143,0.0000110366,0.000005226882,0.001461802],"genre_scores_gemma":[0.9711959,0.0007848368,0.02746387,0.0003672159,0.00009560228,0.000001850372,0.0000493371,0.000004286428,0.00003708079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7781419,"threshold_uncertainty_score":0.2953921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361053955356309,"score_gpt":0.4077679770259727,"score_spread":0.3841574374724096,"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."}}