{"id":"W4381516859","doi":"10.1364/boda.2023.dm3a.8","title":"Speckle Contrast Reduction through the use of a Modally-Specific Photonic Lantern in Few-Modes Optical Coherence Tomography","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent; Université de Montréal; Montreal Heart Institute; Centre Hospitalier Universitaire Sainte-Justine; Polytechnique Montréal","funders":"","keywords":"Optical coherence tomography; Speckle pattern; Lantern; Optics; Photonics; Speckle noise; Coherence (philosophical gambling strategy); Reduction (mathematics); Physics; Contrast (vision); Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001158197,0.0001630102,0.0002076212,0.0001650163,0.00004377604,0.00006181106,0.0002700376,0.00008950172,0.0001308843],"category_scores_gemma":[0.00001471162,0.0001276048,0.0001108925,0.001693602,0.0002436115,0.0002504014,0.00004077251,0.0002503098,0.00009404208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002854522,"about_ca_system_score_gemma":0.00001188409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001459101,"about_ca_topic_score_gemma":0.0001374492,"domain_scores_codex":[0.9988277,0.00002595626,0.0003501592,0.0002433147,0.0002151291,0.0003377602],"domain_scores_gemma":[0.9992141,0.0002074787,0.00002931364,0.0004456397,0.00005171698,0.00005177466],"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":[0.0001378553,0.0005775761,0.009616828,0.0002137998,0.0003194598,0.00002544003,0.002352489,0.1621923,0.4528786,0.3484634,0.01181215,0.01141001],"study_design_scores_gemma":[0.003143209,0.0004352799,0.2041744,0.0005475138,0.0001481592,0.00007960744,0.004909452,0.4688026,0.2499609,0.03363108,0.03186407,0.002303731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796474,0.0001425392,0.009823563,0.0002910665,0.0001322631,0.0007106916,0.00003446656,0.0006171823,0.008600822],"genre_scores_gemma":[0.9952449,0.0002339891,0.004172591,0.00001224515,0.00003356214,0.0001898584,0.00001287865,0.00002575144,0.00007417433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3148324,"threshold_uncertainty_score":0.5203571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04704546290548284,"score_gpt":0.2537479526752842,"score_spread":0.2067024897698013,"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."}}