{"id":"W4414668777","doi":"10.3390/jcm14196875","title":"Oculoplastics and Augmented Intelligence: A Literature Review","year":2025,"lang":"en","type":"review","venue":"Journal of Clinical Medicine","topic":"Ophthalmology and Eye Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary; University of Alberta","funders":"","keywords":"Giant cell arteritis; Patient care; Eyelid; MEDLINE; Deep learning; Applications of 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000767826,0.0009702792,0.001479817,0.004794564,0.0003927634,0.001416463,0.001050288,0.00123144,0.007295995],"category_scores_gemma":[0.00207761,0.0003735199,0.001084656,0.004858201,0.0006181588,0.00180895,0.0008420099,0.001128706,0.001851629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006340998,"about_ca_system_score_gemma":0.002111082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003081671,"about_ca_topic_score_gemma":0.004026848,"domain_scores_codex":[0.9996514,0.00005224714,0.00008354454,0.00006004486,0.0001275906,0.00002513642],"domain_scores_gemma":[0.9986664,0.0008905562,0.0001470084,0.00002968771,0.000220947,0.00004532572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004628142,0.00004854661,0.0003252811,0.05111461,0.0001542495,0.0002458197,0.0001007782,0.0002646457,0.0003060537,0.002688019,0.02248046,0.9222252],"study_design_scores_gemma":[0.00001777819,0.00008460197,0.001989328,0.03799982,0.0005894579,0.003338551,0.0002173725,0.000151263,0.000324851,0.00241614,0.9528319,0.00003894121],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008239604,0.9987872,0.00008338217,0.0001792014,0.0000942796,0.000005476992,0.00002286797,0.00000617945,0.0007390225],"genre_scores_gemma":[0.0005789848,0.9988366,0.0001677209,0.0001100452,0.00008660538,0.000005438314,0.0000305654,0.000001601253,0.0001823832],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007295995,"threshold_uncertainty_score":0.02440757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1267245505085283,"score_gpt":0.5593250680627264,"score_spread":0.4326005175541981,"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."}}