{"id":"W4399542322","doi":"10.2196/58370","title":"Authors’ Reply: A Use Case for Generative AI in Medical Education","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Generative grammar; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008382395,0.0005910106,0.0009755917,0.001123273,0.003179349,0.005250501,0.002342882,0.04163374,0.01503777],"category_scores_gemma":[0.1056496,0.0005882347,0.001280922,0.0008797848,0.005057958,0.004769008,0.002916956,0.03376178,0.008343294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003022215,"about_ca_system_score_gemma":0.005091026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005728356,"about_ca_topic_score_gemma":0.006973834,"domain_scores_codex":[0.9916722,0.002768304,0.001553931,0.0009240592,0.002219792,0.000861737],"domain_scores_gemma":[0.9329594,0.04402724,0.002173982,0.00227963,0.01613626,0.00242356],"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":[0.00007120104,0.00002277133,0.0006167766,0.0002165711,0.00004219987,0.0006884696,0.0009863604,0.00009858115,0.0001491319,0.007862139,0.9782465,0.01099937],"study_design_scores_gemma":[0.00007017507,0.00003038594,0.0007294382,0.0006825103,0.00006404654,0.001708546,0.001767016,0.0003963079,0.0005792747,0.01351298,0.9803503,0.0001089892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002721057,0.0008055573,0.000358172,0.9796115,0.01773246,0.000005935336,0.00005037334,0.00002934157,0.001134546],"genre_scores_gemma":[0.006982105,0.00105822,0.000901641,0.9619377,0.02427262,0.00004547885,0.00003354757,0.0000575465,0.004711191],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04163374,"threshold_uncertainty_score":0.05030638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357742193199204,"score_gpt":0.5327325953521601,"score_spread":0.3969583760322397,"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."}}