{"id":"W4408546473","doi":"10.1038/s41598-025-94335-0","title":"International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Current (fluid); Consensus conference; MEDLINE; Medicine; Computer science; Political science; Engineering; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001458331,0.00008031836,0.0002044436,0.0003479394,0.0000787841,0.00007212523,0.00003812053,0.00002561392,0.00002661936],"category_scores_gemma":[0.001143218,0.00005204035,0.00003790364,0.0004495365,0.0003116174,0.00002191265,0.00005124908,0.0002486804,4.379393e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002028343,"about_ca_system_score_gemma":0.0001945898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003381061,"about_ca_topic_score_gemma":0.000004432033,"domain_scores_codex":[0.9987609,0.00004463719,0.0004120996,0.0003378051,0.0002914921,0.0001530329],"domain_scores_gemma":[0.999273,0.0002067183,0.0001382373,0.0002328314,0.00008291286,0.0000662895],"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":[0.00006118846,0.0001637431,0.08869874,0.00006960205,0.00003507837,0.000154111,0.0008086556,0.00001232519,0.002075895,0.01362386,0.0049653,0.8893315],"study_design_scores_gemma":[0.000345529,0.0000549278,0.2798986,0.0009368679,0.0001095374,0.0003523433,0.001251494,0.02002383,0.009830334,0.04479045,0.6420614,0.0003447466],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752412,0.005950301,0.0001328339,0.009316635,0.008068924,0.0002821661,9.190936e-7,0.00001332035,0.000993698],"genre_scores_gemma":[0.9984809,0.0008350505,0.0002737462,0.0001149925,0.0001640848,0.000009868321,0.000006880045,0.000004548333,0.0001099321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8889868,"threshold_uncertainty_score":0.2122144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652816418014824,"score_gpt":0.3143769066112699,"score_spread":0.2978487424311216,"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."}}