{"id":"W4415027357","doi":"10.2196/84392","title":"Correction: Patient Safety of Perioperative Medication Through the Lens of Digital Health and Artificial Intelligence","year":2025,"lang":"en","type":"erratum","venue":"JMIR Perioperative Medicine","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Patient safety; Perioperative; Digital health; Lens (geology); MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004377363,0.0005106811,0.002497677,0.0001895053,0.0002685138,0.00002461257,0.0001683042,0.0003337913,0.0003686015],"category_scores_gemma":[0.001495342,0.000285746,0.000335708,0.0005705481,0.002055909,0.0001514582,0.00009947013,0.00104488,0.000004380801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002317,"about_ca_system_score_gemma":0.001496674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002248211,"about_ca_topic_score_gemma":0.0000568829,"domain_scores_codex":[0.9962551,0.0003356678,0.001554075,0.0005837905,0.0009600852,0.0003112682],"domain_scores_gemma":[0.9969929,0.0009328869,0.0006160596,0.0005602799,0.0007164293,0.0001813703],"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":[0.004977072,0.001227603,0.001983394,0.004195076,0.002198167,0.00011024,0.3148408,0.00003777184,0.0002474372,0.09206964,0.3335536,0.2445592],"study_design_scores_gemma":[0.0006636835,0.003944901,0.00236522,0.003919995,0.000254175,0.0001384234,0.03808867,0.0002866096,0.0001745399,0.00003242227,0.9498405,0.000290889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002723157,0.04669764,0.005273006,0.1765054,0.02894084,0.009524624,0.0004591378,0.0001478115,0.7297284],"genre_scores_gemma":[0.3136115,0.04618264,0.0004673221,0.01313722,0.006710045,0.0009061289,0.004680005,0.0002101029,0.614095],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6162869,"threshold_uncertainty_score":0.9999595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043763091131188,"score_gpt":0.3334349423029041,"score_spread":0.3029973113915923,"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."}}