{"id":"W4416298364","doi":"10.1002/acn3.70235","title":"Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica","year":2025,"lang":"en","type":"article","venue":"Annals of Clinical and Translational Neurology","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cilag; National Institute of Allergy and Infectious Diseases; Bayer Vital; Chugai Pharmaceutical; National Institutes of Health; Merz Pharmaceuticals; Mitsubishi Tanabe Pharma Corporation; Freie Universität Berlin; EMD Serono; Fondation Charcot; Syddansk Universitet; Daewoong Pharmaceutical Company; Neuraxpharm; Handok; Teva Pharmaceutical Industries; National Research Foundation of Korea; Amgen; National Research Foundation; Eisai; University of Oxford; Horizon Therapeutics; Humboldt-Universität zu Berlin; Bayer HealthCare; Acorda Therapeutics; Tel Aviv University; European Committee for Treatment and Research in Multiple Sclerosis; Alexion Pharmaceuticals; Bundesministerium für Bildung und Forschung; Biogen; Universitat Pompeu Fabra; Celgene; Argenx; Canadian Institutes of Health Research; Ipsen; Friedrich-Baur-Stiftung; Guthy-Jackson Charitable Foundation; U.S. Department of Defense; Sanofi; Allergan; AstraZeneca","keywords":"Optical coherence tomography; Neuromyelitis optica; Optic neuritis; Computed tomography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005905181,0.000123153,0.0006812182,0.0004712255,0.00001987056,0.000005997903,0.0001708513,0.0001910154,0.00004525592],"category_scores_gemma":[0.0001938076,0.0001224996,0.0003327781,0.001636808,0.000637181,0.0000593113,0.00002096993,0.0003590534,9.305149e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":1.398041e-7,"about_ca_system_score_gemma":0.00003049182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002989199,"about_ca_topic_score_gemma":0.000151182,"domain_scores_codex":[0.9980248,0.0001627036,0.001164838,0.0003024159,0.0001525302,0.0001927672],"domain_scores_gemma":[0.9968717,0.002617128,0.00007372963,0.0002323928,0.0001186514,0.00008638905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001548275,0.000234253,0.661615,0.00006851624,0.0004848814,0.000002138918,0.00002228392,0.007471253,0.0001704679,0.2968076,0.000017434,0.0329514],"study_design_scores_gemma":[0.0002989227,0.00007906902,0.9505586,0.000008344413,0.0001312172,2.591637e-7,0.000002651974,0.008634722,0.0001127637,0.03977009,0.0003252838,0.00007807498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763758,0.0003269412,0.003826141,0.01240442,0.00005874662,0.0001482627,0.0001099499,0.00003786182,0.00671189],"genre_scores_gemma":[0.9982837,0.0004453233,0.0008699726,0.0003460416,0.000009979544,0.00001854602,0.00001705826,0.000005526707,0.000003854741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2889437,"threshold_uncertainty_score":0.499539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1563607045019013,"score_gpt":0.4424905749235489,"score_spread":0.2861298704216476,"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."}}