{"id":"W2976764925","doi":"10.1117/1.jbo.24.9.097001","title":"Impact of velocity gradient in Poiseuille flow on the statistics of coherent radiation scattered by flowing Brownian particles in optical coherence tomography","year":2019,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Physics; Hagen–Poiseuille equation; Brownian motion; Optics; Optical coherence tomography; Optical tomography; Flow velocity; Wavefront; Coherence (philosophical gambling strategy); Curvature; Computational physics; Mechanics; Flow (mathematics); Mathematics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001406929,0.00053854,0.0004232182,0.0006629748,0.0003156622,0.001000929,0.000302881,0.0007213482,0.000395717],"category_scores_gemma":[0.01111318,0.0002746554,0.0001899681,0.0002993185,0.001161042,0.001682703,0.0005099684,0.0005094619,0.0001258736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007638151,"about_ca_system_score_gemma":0.0007680616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001984003,"about_ca_topic_score_gemma":0.001220253,"domain_scores_codex":[0.9994753,0.0001718651,0.0000231108,0.0001329547,0.0001256038,0.00007120184],"domain_scores_gemma":[0.9959261,0.003126835,0.0004384541,0.0001518879,0.000234656,0.0001221347],"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":[0.001280895,0.0004913525,0.02631163,0.0003445527,0.00009755887,0.002427857,0.0003829786,0.3360812,0.5504786,0.03587421,0.0009387408,0.04529037],"study_design_scores_gemma":[0.00003700783,0.0002163157,0.01300559,0.00002724012,0.00002950687,0.0004483608,0.00004250733,0.9078051,0.07385914,0.004154582,0.0002850949,0.00008937776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8376274,0.000732901,0.1593796,0.0003941978,0.00005718957,0.00003880109,0.000101456,0.000347991,0.001320463],"genre_scores_gemma":[0.9933892,0.0002432108,0.00591125,0.00004562302,0.00001943338,0.00001669853,0.00004307411,0.00004657626,0.0002848634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001984003,"threshold_uncertainty_score":0.007440627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009245521263706187,"score_gpt":0.2455142580879545,"score_spread":0.2362687368242483,"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."}}