{"id":"W7084126481","doi":"10.1364/ecbo.2025.tu4c.4","title":"Progress on digital wavefront correction and Spatio-Temporal Optical Coherence Tomography for retinal imaging","year":2025,"lang":"en","type":"article","venue":"","topic":"Scientific Research and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Optical coherence tomography; Wavefront; Adaptive optics; Coherence (philosophical gambling strategy); Retinal; Optical imaging; Tomography; Wavefront sensor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003049452,0.0009854471,0.0005206545,0.002514831,0.0003294488,0.002022469,0.0008148405,0.001120338,0.006958664],"category_scores_gemma":[0.003853606,0.0002959142,0.0005432366,0.00216759,0.00098474,0.002418291,0.001421106,0.002065198,0.001588438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105553,"about_ca_system_score_gemma":0.002072481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224788,"about_ca_topic_score_gemma":0.002826348,"domain_scores_codex":[0.9987308,0.0002132162,0.00008203981,0.0002216155,0.0006529607,0.00009936896],"domain_scores_gemma":[0.9963512,0.001496009,0.0003088211,0.0003163714,0.001320724,0.0002067429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002392497,0.0001258666,0.001516907,0.001705089,0.0001017692,0.0001404676,0.0001228682,0.00360521,0.05070536,0.02720302,0.01414092,0.9003933],"study_design_scores_gemma":[0.0000977634,0.0009312884,0.006363579,0.001857458,0.0003943728,0.002880148,0.0003052801,0.07724334,0.2019231,0.03157377,0.6761923,0.0002376451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02661374,0.4480263,0.453154,0.01332569,0.002348832,0.0001598226,0.0006714476,0.002524628,0.05317554],"genre_scores_gemma":[0.1904681,0.4258852,0.3542702,0.003014081,0.003170108,0.0001552068,0.001356602,0.0006705627,0.02101004],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006958664,"threshold_uncertainty_score":0.02327907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101406721758629,"score_gpt":0.2752458324232971,"score_spread":0.2642317652057108,"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."}}