{"id":"W2000680843","doi":"10.1364/ol.35.001257","title":"Optimized speckle variance OCT imaging of microvasculature","year":2010,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Speckle pattern; Optical coherence tomography; Optics; Speckle imaging; Ghost imaging; Coherence (philosophical gambling strategy); Speckle noise; Materials science; Preclinical imaging; Doppler effect; Multiple exposure; Physics; In vivo","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":[0.00009026098,0.0001313243,0.0001561219,0.00007669112,0.0000327818,0.00003285658,0.0002406658,0.00005835022,0.00008849742],"category_scores_gemma":[0.0000180059,0.0001398207,0.0001066089,0.0002728239,0.0001150113,0.00009263311,0.00002436056,0.0003792484,0.00003066513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001001876,"about_ca_system_score_gemma":0.000006633962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004223377,"about_ca_topic_score_gemma":0.000001547199,"domain_scores_codex":[0.9993052,0.000006251701,0.0001881009,0.000152097,0.0001228233,0.0002254788],"domain_scores_gemma":[0.9993578,0.00005388757,0.00003020878,0.000450616,0.00003805524,0.0000694892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003047698,0.00002254249,0.0005105706,0.00003574073,0.00004991889,0.000003944217,0.00006202219,0.01856168,0.9734082,0.005161979,0.001465716,0.0007146477],"study_design_scores_gemma":[0.003951491,0.00004002731,0.03182556,0.0001659995,0.0004608106,0.0001121596,0.00013279,0.566539,0.3640988,0.002713269,0.02731916,0.002641002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8122035,0.0001511979,0.1664183,0.002357771,0.0008393554,0.0004365561,0.00003373454,0.0004942257,0.01706533],"genre_scores_gemma":[0.6890457,0.00001231484,0.3105959,0.0001847336,0.00008938999,0.00001782163,0.000007587751,0.00003080218,0.00001572282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6093094,"threshold_uncertainty_score":0.5701722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003541754075778409,"score_gpt":0.193961758515607,"score_spread":0.1904200044398286,"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."}}