{"id":"W4392364318","doi":"10.1097/iop.0000000000002637","title":"Reply Re: “Orbital and Oculofacial Diseases and Artificial Intelligence: Evaluating the Accuracy and Readability of ChatGPT”","year":2024,"lang":"en","type":"article","venue":"Ophthalmic Plastic and Reconstructive Surgery","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital","funders":"","keywords":"Medicine; Readability; Artificial intelligence; Medical physics; Optometry; Natural language processing; Linguistics","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":[0.003881896,0.0008215471,0.0009478172,0.001577553,0.002236238,0.001991428,0.001744706,0.02246617,0.03038138],"category_scores_gemma":[0.0419488,0.0006558644,0.001270665,0.0006951708,0.001874367,0.002619657,0.001430836,0.01373379,0.02442816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002756585,"about_ca_system_score_gemma":0.003364281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050549,"about_ca_topic_score_gemma":0.01045651,"domain_scores_codex":[0.997615,0.000555086,0.0004954021,0.0003383087,0.0006891782,0.0003070526],"domain_scores_gemma":[0.9816554,0.006772246,0.0008283242,0.0005398288,0.008709238,0.001494908],"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":[0.00004216503,0.0000105026,0.0006055007,0.00003753434,0.000006696911,0.000116492,0.00005027423,0.00001570986,0.00008013208,0.0002056876,0.9952127,0.003616544],"study_design_scores_gemma":[0.0001083305,0.00006506331,0.003633281,0.0003471223,0.00004685508,0.001074124,0.0007487545,0.000234959,0.0005801696,0.001672615,0.9913889,0.0000998685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000523211,0.001010705,0.0001876395,0.9532196,0.04219061,0.00004390129,0.0004987083,0.000125171,0.002200378],"genre_scores_gemma":[0.00390101,0.001280748,0.0002828236,0.9492081,0.03140161,0.0001151661,0.0003404756,0.00005620976,0.01341379],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03038138,"threshold_uncertainty_score":0.1016359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514629023817811,"score_gpt":0.4146549878703115,"score_spread":0.2631920854885305,"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."}}