{"id":"W2036062819","doi":"10.1364/ao.49.003140","title":"High-velocity-flow imaging with real-time Doppler optical coherence tomography","year":2010,"lang":"en","type":"article","venue":"Applied Optics","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Optical coherence tomography; Optics; Doppler effect; Flow velocity; Laminar flow; Physics; Aliasing; Tomography; Coherence (philosophical gambling strategy); Turbulence; Group velocity; Flow (mathematics); Mechanics; Computer science; Filter (signal processing)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001663064,0.0004008561,0.000345084,0.0001814347,0.0001565341,0.0001563527,0.0004979899,0.0001860513,0.0003174213],"category_scores_gemma":[0.00001120239,0.0003761452,0.00008550768,0.0009362791,0.0004482081,0.0001383811,0.00007235369,0.0008104621,0.0004316448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500371,"about_ca_system_score_gemma":0.00004630276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001609915,"about_ca_topic_score_gemma":0.00002888434,"domain_scores_codex":[0.9981013,0.00000732719,0.0003566668,0.0004637592,0.0003929043,0.0006780501],"domain_scores_gemma":[0.9984483,0.000191279,0.00005017555,0.0008429011,0.0001202036,0.0003471595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006876868,0.000329949,0.002294189,0.0001232641,0.0002824751,0.0000369284,0.0002328713,0.01450532,0.3854378,0.5649312,0.00316366,0.02859357],"study_design_scores_gemma":[0.008738979,0.0005595557,0.08195577,0.0002305883,0.001486953,0.0004309528,0.0007319622,0.5868871,0.22733,0.06682063,0.01380351,0.01102406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6765003,0.00002719546,0.04297404,0.0003415181,0.0003495949,0.001468227,0.00008880039,0.003228382,0.2750219],"genre_scores_gemma":[0.6894712,0.00001416308,0.3099409,0.00004441373,0.0001271403,0.0002493126,0.00004480925,0.00007862202,0.00002939308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5723817,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00436115006264245,"score_gpt":0.1943475601589532,"score_spread":0.1899864100963107,"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."}}