{"id":"W4413769926","doi":"10.1097/wno.0000000000002393","title":"Artificial Intelligence Diagnosis of Ocular Motility Disorders From Clinical Videos","year":2025,"lang":"en","type":"article","venue":"Journal of Neuro-Ophthalmology","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Computer science; 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":[0.0008702205,0.0001524504,0.0005012417,0.0002344788,0.00007642835,0.00003282664,0.001522834,0.0001431448,0.00007811483],"category_scores_gemma":[0.002527423,0.0001405712,0.0003116585,0.0005216262,0.0002228939,0.0001744766,0.0003541264,0.0007283111,0.00001858712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002460962,"about_ca_system_score_gemma":0.0001482726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002643681,"about_ca_topic_score_gemma":0.000003946901,"domain_scores_codex":[0.9970611,0.000708821,0.001375704,0.0003844642,0.0002559879,0.0002138805],"domain_scores_gemma":[0.9949085,0.003297867,0.0007729885,0.0006989511,0.0002129444,0.0001087573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006369345,0.0009461495,0.8918566,0.00001754679,0.0001010429,0.000173088,0.0001183422,0.00285024,0.000769428,0.008066279,0.0001794601,0.09485819],"study_design_scores_gemma":[0.0001383515,0.0004750717,0.8537819,0.00003216885,0.00004345496,0.0002045604,0.00001410129,0.03123596,0.001640842,0.1118675,0.0004583291,0.0001076916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.802743,0.0001374193,0.189384,0.006469473,0.0008671978,0.0001194963,0.000004381664,0.00001704004,0.0002580363],"genre_scores_gemma":[0.9810327,0.00005059679,0.01856894,0.0002275721,0.00009550137,0.000008956181,8.086806e-7,0.000007540501,0.000007425062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1782897,"threshold_uncertainty_score":0.5732327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05013311516629099,"score_gpt":0.3844152274446197,"score_spread":0.3342821122783287,"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."}}