{"id":"W4401933317","doi":"10.1016/j.jcjo.2024.07.015","title":"Computer-aided diagnosis of eyelid skin tumors using machine learning","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Eyelid; Computer science; Artificial intelligence; Dermatology; Medicine; Radiology","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":[0.0004061826,0.0003257493,0.0004055315,0.001516849,0.00020235,0.0006806782,0.0004421571,0.0005765417,0.001766599],"category_scores_gemma":[0.001247288,0.0001748907,0.0004238221,0.0004126214,0.0001072959,0.0003242794,0.0003334103,0.0004036402,0.0007545294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806548,"about_ca_system_score_gemma":0.0004892456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003922577,"about_ca_topic_score_gemma":0.006555204,"domain_scores_codex":[0.9997668,0.00003942422,0.00002676896,0.00005148841,0.00007796086,0.00003754631],"domain_scores_gemma":[0.9995161,0.0002303758,0.00004736107,0.00003163901,0.0001534983,0.00002105433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000476923,0.0003136645,0.03519005,0.0001674657,0.00008920149,0.000633607,0.0000588105,0.03387856,0.05243628,0.0005940338,0.00448742,0.871674],"study_design_scores_gemma":[0.00002099504,0.0001303028,0.02172929,0.00004025797,0.00005256416,0.001365361,0.00007619052,0.9495322,0.02380737,0.0008979492,0.002324044,0.00002343479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4648854,0.002975859,0.521245,0.0005681188,0.0001863258,0.0002550057,0.001236503,0.003870729,0.00477706],"genre_scores_gemma":[0.8639367,0.0006446394,0.1312393,0.0001133906,0.00004703287,0.000062729,0.001006165,0.00005159583,0.002898569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003922577,"threshold_uncertainty_score":0.007799506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747712785223652,"score_gpt":0.2826300351540704,"score_spread":0.2551529073018339,"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."}}