{"id":"W4243547727","doi":"10.32920/ryerson.14640069","title":"Two-Dimensional Velocity Estimation for Doppler Optical Coherence Tomography","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Toronto Metropolitan University","funders":"Canada Research Chairs","keywords":"Optical coherence tomography; Doppler effect; Coherence (philosophical gambling strategy); Optics; Physics; Biomedicine; Computer science; Bioinformatics; Biology; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001843911,0.0003958161,0.0004129969,0.0001767886,0.00009427328,0.000199164,0.0003589527,0.0003812333,0.0004497732],"category_scores_gemma":[0.00005988404,0.0004186722,0.0003608025,0.0004047651,0.0001324876,0.0001144051,0.0002475654,0.0006457493,0.00003512766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007217824,"about_ca_system_score_gemma":0.0001039792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002666945,"about_ca_topic_score_gemma":0.00004392874,"domain_scores_codex":[0.9981627,0.00001948717,0.0004687352,0.0005996881,0.0003366103,0.0004127179],"domain_scores_gemma":[0.9984366,0.000307989,0.0000527559,0.0006844579,0.0003023376,0.000215851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001780414,0.0002224501,0.000263698,0.0007190618,0.0003983589,0.000004680208,0.00008693214,0.9444069,0.003110623,0.02794911,0.005582353,0.01723802],"study_design_scores_gemma":[0.0004238004,0.0000310379,0.002832133,0.0001455876,0.0001513343,0.000008941342,0.00003072156,0.9715585,0.007528077,0.01635549,0.0001406714,0.000793759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.188983,0.0005078102,0.7868007,0.0003746042,0.0008746713,0.002434883,0.0002461676,0.001809754,0.01796832],"genre_scores_gemma":[0.5887849,0.000005146482,0.4092031,0.00005283115,0.00008021024,0.001291178,0.0005059128,0.00004391334,0.00003282929],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3998019,"threshold_uncertainty_score":0.9998265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068465353967708,"score_gpt":0.270561629417042,"score_spread":0.249876975877365,"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."}}