{"id":"W4408518168","doi":"10.1097/scs.0000000000011224","title":"Facial Aging in Thyroid Eye Disease: Quantification by Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Craniofacial Surgery","topic":"Ophthalmology and Eye Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Cohort; Age groups; Thyroid disease; Thyroid; Gerontology; Audiology; Pediatrics; Surgery; Demography; Internal medicine","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":[0.0008402764,0.0001285604,0.0004273461,0.0004555964,0.00008568043,0.00002426183,0.00009434333,0.0001159702,0.0001485927],"category_scores_gemma":[0.0008450255,0.0001203025,0.0002465777,0.0004826544,0.000114763,0.000157549,0.00001549077,0.0003689434,0.00002363596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007110567,"about_ca_system_score_gemma":0.0004058276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002263089,"about_ca_topic_score_gemma":0.000003867122,"domain_scores_codex":[0.9984481,0.00009964812,0.0008033439,0.0001549828,0.000256571,0.0002374017],"domain_scores_gemma":[0.9991528,0.000203741,0.0002405949,0.0001263937,0.000153448,0.0001230387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001924918,0.0006405101,0.921864,0.0001118483,0.00007758684,0.0003938517,0.0001958087,0.00006871863,0.006874209,0.0007101324,0.002642831,0.06449553],"study_design_scores_gemma":[0.0005702687,0.0001104046,0.9688218,0.0006258081,0.0002048226,0.00003729356,0.0009742932,0.0002324731,0.003735221,0.01213734,0.01221432,0.00033592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988817,0.001084024,0.002883595,0.005193517,0.00132111,0.0001212376,0.00001031552,0.00001285028,0.000556302],"genre_scores_gemma":[0.9989982,0.0002772095,0.00003290653,0.0003059474,0.0001688297,0.000003104499,0.00001330474,0.000008974573,0.0001915122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0641596,"threshold_uncertainty_score":0.4905793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029787597728936,"score_gpt":0.3337141634446779,"score_spread":0.3039265657157419,"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."}}