{"id":"W4391367909","doi":"10.2196/52073","title":"Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systematic review; Health care; Service (business); MEDLINE; Scope (computer science); Evidence-based medicine; Medicine; Health informatics; Medical education; Computer science; Alternative medicine; Public health; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.001755459,0.0001255375,0.000742883,0.00009216752,0.00004304403,0.00001313403,0.0002041274,0.0001701524,0.00004728177],"category_scores_gemma":[0.001634624,0.00007184205,0.0001616229,0.0006109259,0.0002069373,0.0003328832,0.00007445571,0.0006059289,0.00001666946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149685,"about_ca_system_score_gemma":0.002176402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002135091,"about_ca_topic_score_gemma":0.0001123763,"domain_scores_codex":[0.9953539,0.0004450622,0.003107312,0.0001086029,0.0008015773,0.0001834865],"domain_scores_gemma":[0.9970968,0.001338007,0.0005292751,0.0004240233,0.0004155816,0.0001962832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00005293799,0.0001055011,0.001182416,0.8061433,0.00004057859,0.000004025308,0.1762737,0.00001040759,0.000001260227,0.0002349275,0.004899596,0.01105139],"study_design_scores_gemma":[0.00005853153,0.00110767,0.0006753915,0.9138075,0.00009619299,0.00004443953,0.05488858,0.02778852,0.0001584463,0.00006212825,0.001213215,0.00009935919],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6954105,0.217681,0.001206595,0.0696978,0.002763058,0.01291251,0.00002460579,0.0001040154,0.0001998576],"genre_scores_gemma":[0.9502671,0.02031671,0.001235903,0.02762882,0.0001783122,0.0002463517,0.00002824539,0.00001486222,0.00008374116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2548565,"threshold_uncertainty_score":0.3860843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2826431925059766,"score_gpt":0.5375663505409155,"score_spread":0.2549231580349389,"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."}}