{"id":"W4360612649","doi":"10.1016/j.jcjo.2023.03.002","title":"Split-detection adaptive optics imaging for cytoid body-like materials in a cotton wool spot","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cotton wool spots; Confocal; Confocal microscopy; Scanning laser ophthalmoscopy; Retinal; Fundus photography; Spots; Biology; Optics; Ophthalmology; Medicine; Cell biology; Physics; Retinopathy; Fluorescein angiography; Botany","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":[0.0002358473,0.0002408874,0.0001321042,0.0003008606,0.0002462317,0.0003889378,0.0002855185,0.000415893,0.001274051],"category_scores_gemma":[0.0002484695,0.0001409374,0.0001225935,0.0001974864,0.0004319618,0.0004659434,0.0003589145,0.0003218634,0.0002145317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004253,"about_ca_system_score_gemma":0.0002577517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006517501,"about_ca_topic_score_gemma":0.001075663,"domain_scores_codex":[0.9999254,0.00001350204,0.000002430934,0.00001831589,0.00002757581,0.00001286722],"domain_scores_gemma":[0.999806,0.00007988193,0.00003579689,0.00001811581,0.00003804858,0.00002226902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002117022,0.00002515732,0.0005527969,0.00005256823,0.00000307907,0.0002760738,0.00009294206,0.0007055803,0.993211,0.0008750238,0.000131537,0.003862591],"study_design_scores_gemma":[0.00002345758,0.0002652216,0.003960481,0.00001519831,0.00001426517,0.0004551069,0.0001600157,0.02712556,0.9658501,0.0003729976,0.001737985,0.00001954543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759042,0.00036124,0.01912935,0.0001727891,0.00002161951,0.00002611449,0.00005219554,0.0001270719,0.004205455],"genre_scores_gemma":[0.9704963,0.0001843286,0.02630644,0.00004280198,0.000009936637,0.00001652051,0.00004347568,0.00002461611,0.002875574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001274051,"threshold_uncertainty_score":0.00426209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02067083616423998,"score_gpt":0.2526773698771989,"score_spread":0.2320065337129589,"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."}}