{"id":"W4412831925","doi":"10.2196/80898","title":"AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration","year":2025,"lang":"en","type":"editorial","venue":"JMIR Medical Informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; JMIR Publications","funders":"","keywords":"Workflow; Documentation; Health care; Transformative learning; Patient safety; Computer science; Medicine; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001230441,0.000368186,0.0008693378,0.000722416,0.0001729804,0.00007776038,0.0002390219,0.001278585,0.0001262646],"category_scores_gemma":[0.001272319,0.0002810521,0.0001116358,0.0007663259,0.0001745052,0.0004232611,0.00003829381,0.003066452,0.00004429269],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167683,"about_ca_system_score_gemma":0.01882528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276861,"about_ca_topic_score_gemma":0.001808307,"domain_scores_codex":[0.9948634,0.0001587968,0.002120726,0.0002167473,0.002049637,0.0005906957],"domain_scores_gemma":[0.9973364,0.0005546674,0.0004259181,0.0003694957,0.0008545637,0.0004589551],"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":[0.0007958191,0.0001225972,0.00003054674,0.005104127,0.00003741769,0.00001950718,0.05739264,0.00001381196,6.883598e-7,0.0001296085,0.8373177,0.09903552],"study_design_scores_gemma":[0.0009345869,0.002355988,0.00005055901,0.02136636,0.00009731438,0.00003600985,0.09128841,0.006911518,0.0004438658,0.0002558026,0.8756996,0.0005599581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00651332,0.001895099,0.04037762,0.04607781,0.8897189,0.007180627,0.0002952306,0.0004571622,0.007484186],"genre_scores_gemma":[0.07700736,0.006796196,0.01310069,0.0340518,0.8469042,0.001792665,0.0169718,0.0002072276,0.003168121],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09847556,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315567986731258,"score_gpt":0.407133423883654,"score_spread":0.3839777440163414,"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."}}