{"id":"W2007881580","doi":"10.1364/ol.37.002871","title":"Speckle reduction of endovascular optical coherence tomography using a generalized divergence measure","year":2012,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canada Research Chairs; Ryerson University","keywords":"Optical coherence tomography; Speckle pattern; Speckle noise; Optics; Smoothing; Computer science; Physics; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002067478,0.000198304,0.0002319558,0.0001618462,0.00006806305,0.00002412903,0.0002236106,0.000093587,0.00007064128],"category_scores_gemma":[0.00002094412,0.0002130751,0.00019143,0.0007195802,0.0002016336,0.0002507002,0.00003818631,0.0002051865,0.00001936657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004679811,"about_ca_system_score_gemma":0.000009560708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001511237,"about_ca_topic_score_gemma":7.069106e-7,"domain_scores_codex":[0.9986681,0.00003073722,0.0003121555,0.0001858624,0.0003530731,0.0004500432],"domain_scores_gemma":[0.9992308,0.00003153901,0.00005130212,0.0004261076,0.00007531612,0.0001849219],"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":[0.000007587733,0.00008584758,0.004373378,0.00006430451,0.0001634085,0.000001991935,0.0002146965,0.02075807,0.9674518,0.006008605,0.0001925122,0.0006777635],"study_design_scores_gemma":[0.001946878,0.0001281533,0.02853068,0.0002881412,0.001156575,0.0002280296,0.0005027394,0.09226991,0.8703663,0.0008233138,0.001235683,0.002523562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228608,0.0005029996,0.07465672,0.00009318811,0.0003819569,0.0002884392,0.00001080577,0.0001683446,0.00103675],"genre_scores_gemma":[0.882614,0.00002878662,0.1170998,0.00002697325,0.0001571911,0.00003397423,0.000006159863,0.00003034088,0.000002812452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0970855,"threshold_uncertainty_score":0.8688952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268477209859178,"score_gpt":0.2317978563515918,"score_spread":0.209113084253,"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."}}