{"id":"W4406898365","doi":"10.7759/cureus.78144","title":"The Role of Artificial Intelligence in Triaging Patients in Eye Casualty Departments: A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Cureus","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158773,0.0002483645,0.002822219,0.0002123065,0.00003134238,0.0000173195,0.0002684037,0.00008251233,0.000007898741],"category_scores_gemma":[0.00270807,0.000143133,0.00046474,0.001032621,0.00004009329,0.00002948769,0.00006688536,0.0003193408,0.00001751338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002281597,"about_ca_system_score_gemma":0.0002262816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124803,"about_ca_topic_score_gemma":0.00008776663,"domain_scores_codex":[0.9969232,0.000498218,0.001793817,0.0002750924,0.0002899433,0.0002197334],"domain_scores_gemma":[0.9982448,0.0004423037,0.0006101538,0.0005542229,0.0001044055,0.00004414094],"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":[0.000003810649,0.0001230168,0.0001998982,0.6793436,0.0001222813,0.00001064172,0.00003074502,1.393423e-7,2.271675e-8,0.00005397937,0.00001807646,0.3200938],"study_design_scores_gemma":[0.00005614091,0.00003193624,0.000005361474,0.9781808,0.00380788,0.000003134286,0.0000945276,0.00008169487,0.000001010673,0.0001103071,0.01750709,0.0001201454],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000009163226,0.9972948,0.00001869407,0.00003409549,0.00007843009,0.002088867,0.000009216302,0.000008497579,0.0004582574],"genre_scores_gemma":[0.0001204021,0.9992805,0.00003199095,0.00004051959,0.00002066739,0.0002899979,0.00005246276,0.00001392725,0.0001495738],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3199737,"threshold_uncertainty_score":0.5836795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117325759867536,"score_gpt":0.3922569514750593,"score_spread":0.361083693876384,"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."}}