{"id":"W4381516816","doi":"10.1364/boda.2023.jtu4b.29","title":"Experimentally Validated Monte Carlo Simulator for Fourier-Domain Optical Coherence Tomography","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Castor Technologies (Canada); Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Polytechnique Montréal","funders":"","keywords":"Monte Carlo method; Imaging phantom; Optical coherence tomography; Fourier domain; Coherence (philosophical gambling strategy); Optics; Computer science; Fourier transform; Optical tomography; Physics; 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":[0.000149431,0.0002393004,0.0002266417,0.0002224669,0.0001104015,0.0000817562,0.0003113296,0.0001289891,0.0001661576],"category_scores_gemma":[0.00002085458,0.0002391589,0.0001978802,0.001255125,0.0001092308,0.0001413016,0.00005102396,0.0001327186,0.0001526539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003306528,"about_ca_system_score_gemma":0.00001537445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008934181,"about_ca_topic_score_gemma":0.00001092599,"domain_scores_codex":[0.9985641,0.00001231586,0.0003124246,0.000329241,0.0002386643,0.0005432309],"domain_scores_gemma":[0.9990011,0.0002318457,0.00001893054,0.0004454951,0.00005725706,0.0002454026],"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":[0.0002164296,0.0007086935,0.006970874,0.0005506757,0.001452148,0.00005768517,0.002058431,0.2300363,0.4737631,0.1753706,0.09179233,0.01702272],"study_design_scores_gemma":[0.002788522,0.0004834705,0.00484261,0.00007218897,0.0001317677,0.00000758833,0.001793089,0.788981,0.1573023,0.01157123,0.03000917,0.002017072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235739,0.0001265056,0.05520906,0.0002136954,0.0002681001,0.001770301,0.0001283578,0.004258844,0.01445126],"genre_scores_gemma":[0.9665049,0.000007088213,0.032014,0.00005055878,0.0000597923,0.001053076,0.00003442376,0.0000637929,0.0002123594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5589446,"threshold_uncertainty_score":0.9752617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016403177348636,"score_gpt":0.2676804709515284,"score_spread":0.247516439178042,"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."}}