{"id":"W4400572104","doi":"10.1016/j.soard.2024.07.001","title":"Response to “Harnessing artificial intelligence in bariatric surgery: correspondence”","year":2024,"lang":"en","type":"letter","venue":"Surgery for Obesity and Related Diseases","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Medicine; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.00408675,0.001340089,0.001749874,0.0008721585,0.007672149,0.006835625,0.00221224,0.08598661,0.008000394],"category_scores_gemma":[0.02722637,0.001220406,0.001821423,0.000884327,0.003520655,0.004664593,0.00266024,0.0720533,0.005210577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006397765,"about_ca_system_score_gemma":0.009361089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009133915,"about_ca_topic_score_gemma":0.01782743,"domain_scores_codex":[0.9956014,0.001092533,0.0005033792,0.0006980764,0.001149575,0.0009550997],"domain_scores_gemma":[0.9903039,0.004627801,0.0007062599,0.0001994664,0.001711104,0.002451377],"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":[0.00004773467,0.00004139153,0.0005489262,0.00006399892,0.00001941294,0.0011022,0.0002276938,0.00005616549,0.0001790033,0.001439525,0.9924911,0.003782976],"study_design_scores_gemma":[0.0001443506,0.0001128487,0.002008187,0.0005343524,0.00005974537,0.001170788,0.001305952,0.0007022151,0.0002740548,0.005046719,0.9885244,0.0001164553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002558686,0.0005620742,0.00005938572,0.9822223,0.01537313,0.00001982731,0.00003748373,0.00001729107,0.001452577],"genre_scores_gemma":[0.001280991,0.0003700914,0.0001066809,0.9763967,0.01754336,0.0000460484,0.00001382426,0.00001194579,0.004230259],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08598661,"threshold_uncertainty_score":0.04641926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09063635201804524,"score_gpt":0.3627672593522859,"score_spread":0.2721309073342407,"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."}}