{"id":"W3133844522","doi":"10.1117/12.2576943","title":"An open-source platform for optical coherence tomography monte carlo simulation","year":2021,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Monte Carlo method; Computer science; Optical coherence tomography; Open source; Source code; Coherence (philosophical gambling strategy); Documentation; Code (set theory); Photon; Simulation; Optical tomography; Computational science; Computer graphics (images); Computer engineering; Artificial intelligence; Optics; Software; Iterative reconstruction; Set (abstract data type); Operating system; Physics; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001307935,0.001377863,0.00104943,0.0008695654,0.0006397829,0.00131835,0.004103373,0.001959289,0.05923328],"category_scores_gemma":[0.004869794,0.00100086,0.001450432,0.001040102,0.0005696065,0.001411779,0.002322214,0.00306951,0.01982179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008220609,"about_ca_system_score_gemma":0.001792028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005231032,"about_ca_topic_score_gemma":0.006364735,"domain_scores_codex":[0.9993068,0.0001270951,0.00006671676,0.0001086339,0.0002850163,0.0001056929],"domain_scores_gemma":[0.9982228,0.000790067,0.00009349376,0.0002382009,0.0005007414,0.00015469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001781705,0.0009890378,0.005535398,0.002686597,0.0007993216,0.001320177,0.0008052869,0.2326322,0.02613929,0.04661897,0.4889348,0.1917572],"study_design_scores_gemma":[0.0008625753,0.0001345871,0.001439315,0.0002295657,0.0001130886,0.0003430966,0.00006981215,0.6952839,0.02321694,0.02700616,0.2510924,0.0002085745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01113769,0.0007328173,0.5845872,0.0005238758,0.0004479443,0.000618126,0.02220102,0.3593639,0.02038755],"genre_scores_gemma":[0.1409872,0.001187433,0.6168736,0.001291616,0.0001827262,0.003357487,0.052095,0.1564629,0.02756196],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05923328,"threshold_uncertainty_score":0.198155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280321246554393,"score_gpt":0.2876289424152712,"score_spread":0.2595968177598319,"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."}}