{"id":"W4389204829","doi":"10.1364/oe.504854","title":"Multipath artifacts enable angular contrast in multimodal endoscopic optical coherence tomography","year":2023,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Vancouver General Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Optics; Optical coherence tomography; Multipath propagation; Astronomical interferometer; Computer science; Cladding (metalworking); Image quality; Coherence (philosophical gambling strategy); Physics; Interferometry; Materials science; Computer vision; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000183865,0.000282937,0.0003153859,0.0003619107,0.0000743917,0.000102936,0.0003926119,0.0001882823,0.00007887233],"category_scores_gemma":[0.00008209146,0.0003087398,0.0001024519,0.001347415,0.0001595825,0.0002122773,0.00008316623,0.000396496,0.0003102925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004048465,"about_ca_system_score_gemma":0.0000214815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003121401,"about_ca_topic_score_gemma":0.00002961737,"domain_scores_codex":[0.9980927,0.00002929402,0.0003991131,0.0003911843,0.000304887,0.0007827881],"domain_scores_gemma":[0.9988198,0.0002782419,0.000029999,0.0005462137,0.00006741518,0.0002583845],"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":[0.00004935683,0.000706581,0.03234115,0.0004923795,0.0002056579,0.000322315,0.001826171,0.2881377,0.6405168,0.02314138,0.001423355,0.01083713],"study_design_scores_gemma":[0.002862104,0.0001602738,0.06015405,0.0003050915,0.00006783511,0.000007252639,0.0006590004,0.7325674,0.1955691,0.004179718,0.002094751,0.001373376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802859,0.0001657172,0.005402499,0.0000594466,0.0002497245,0.0007935252,0.00006267118,0.001138408,0.01184206],"genre_scores_gemma":[0.9826111,0.00005902137,0.01659926,0.00001638668,0.00006205643,0.0004849994,0.00004072415,0.0000570919,0.00006934274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4449476,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494086919429267,"score_gpt":0.2412209407009453,"score_spread":0.2262800715066526,"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."}}