{"id":"W2767337554","doi":"10.1117/1.jbo.22.11.110501","title":"Dense concentric circle scanning protocol for measuring pulsatile retinal blood flow in rats with Doppler optical coherence tomography","year":2017,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Optical coherence tomography; Pulsatile flow; Concentric; Optics; Doppler effect; Retinal; Biomedical engineering; Blood flow; Tomography; Materials science; Physics; Medicine; Ophthalmology; Mathematics; Geometry; Radiology","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":[0.0008627212,0.0001764783,0.0005101694,0.000225395,0.0002486026,0.00008038689,0.0003305658,0.0001322126,0.0001058508],"category_scores_gemma":[0.0007498771,0.0001276303,0.0001831138,0.0002352615,0.0005179006,0.0001332668,0.00006986631,0.0006275277,0.000001283436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006101509,"about_ca_system_score_gemma":0.0004384161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007003684,"about_ca_topic_score_gemma":0.000004479455,"domain_scores_codex":[0.997657,0.00004762008,0.0006816,0.0002058228,0.0009621219,0.0004458342],"domain_scores_gemma":[0.9981976,0.0001436842,0.0005766412,0.0002700816,0.000347971,0.0004640551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02071035,0.007301152,0.866236,0.002548398,0.001021215,0.01027611,0.00128241,0.00006963945,0.03600574,0.0002814745,0.004029101,0.05023841],"study_design_scores_gemma":[0.07073408,0.02704303,0.8428693,0.007535052,0.001391565,0.01186547,0.00161178,0.01092687,0.01217496,0.0005997929,0.0121265,0.00112155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691253,0.00006651995,0.002355896,0.002964015,0.0002257253,0.02436716,0.000007898056,0.00001600537,0.0008714942],"genre_scores_gemma":[0.9573072,0.0000096801,0.03764794,0.000158349,0.000359756,0.004425236,0.000004322644,0.00003591975,0.00005157568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05002374,"threshold_uncertainty_score":0.5204614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567430752185586,"score_gpt":0.3038822827319375,"score_spread":0.2782079752100817,"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."}}