{"id":"W4386575491","doi":"10.1007/s00268-023-07167-2","title":"Leveraging ChatGPT to Democratize and Decolonize Global Surgery: Large Language Models for Small Healthcare Budgets","year":2023,"lang":"en","type":"editorial","venue":"World Journal of Surgery","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Abdominal surgery; Cardiothoracic surgery; Cardiac surgery; Vascular surgery; Medicine; Health care; General surgery; Surgery; Political 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.008927616,0.00156511,0.00136243,0.001180369,0.001552494,0.006148101,0.002252885,0.01029598,0.01311451],"category_scores_gemma":[0.04729844,0.0006732095,0.001664252,0.0006444539,0.002006706,0.004454206,0.00149517,0.01652054,0.006003114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838807,"about_ca_system_score_gemma":0.00361237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003132586,"about_ca_topic_score_gemma":0.01106355,"domain_scores_codex":[0.9967424,0.0009897818,0.0002461222,0.0002568651,0.001605656,0.0001592682],"domain_scores_gemma":[0.9637773,0.02804374,0.0006674485,0.0006969916,0.005223919,0.001590695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000308288,0.000007798467,0.00002537301,0.0001203511,0.00002705826,0.000055356,0.00001655654,0.0002111636,0.00005255225,0.001491246,0.9906059,0.007355858],"study_design_scores_gemma":[0.0001910744,0.00004918397,0.0002334355,0.0005422545,0.0001607481,0.0001267195,0.00009426178,0.005294096,0.0002858674,0.01667868,0.9762905,0.00005322932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002612477,0.0041664,0.003394248,0.1999815,0.7871597,0.00004997087,0.0003375468,0.0003902626,0.004259096],"genre_scores_gemma":[0.007282762,0.007138728,0.003862195,0.06367373,0.8811572,0.0001738381,0.0002648919,0.0004199083,0.03602675],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9977471,"threshold_uncertainty_score":0.04721427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1522833632260316,"score_gpt":0.410755104420335,"score_spread":0.2584717411943034,"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."}}