{"id":"W2038386297","doi":"10.1016/j.mvr.2006.10.001","title":"Comparison of retinal arteriolar and venular variability in healthy subjects","year":2006,"lang":"en","type":"article","venue":"Microvascular Research","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Hyperoxia; Retinal; Blood flow; Laser Doppler velocimetry; Vascular resistance; Microcirculation; Autoregulation; Medicine; Vasodilation; Cardiology; Internal medicine; Hypercapnia; Arteriole; Hemodynamics; Blood pressure; Anatomy; Lung; Ophthalmology; Respiratory system","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":[],"consensus_categories":[],"category_scores_codex":[0.004855219,0.00008941558,0.000445724,0.0003240058,0.00007394379,0.00002132051,0.00008473032,0.00006892264,0.00002826138],"category_scores_gemma":[0.0003296912,0.00008159734,0.0001117263,0.000624222,0.0002741608,0.00003203124,0.00006322941,0.0004927015,0.00001016508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008154003,"about_ca_system_score_gemma":0.000103195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221386,"about_ca_topic_score_gemma":0.00006067338,"domain_scores_codex":[0.997781,0.0006763918,0.0003555754,0.0003280733,0.0005009296,0.0003580211],"domain_scores_gemma":[0.9991036,0.0001516448,0.00004254156,0.0004007602,0.0002165336,0.00008489844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00025115,0.0004063413,0.8073919,0.000407496,0.00003241938,0.00005150434,0.0001774444,0.000005063217,0.1885442,0.0000489995,0.0002272047,0.002456193],"study_design_scores_gemma":[0.002207574,0.0006663775,0.8335478,0.0003528895,0.00007850191,0.00007458751,0.0003673712,0.002120828,0.1547445,0.0006131795,0.005067809,0.0001586236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955193,0.002650083,0.0001836935,0.0008082095,0.0000103769,0.0002225742,7.829229e-7,0.00001060462,0.0005944109],"genre_scores_gemma":[0.9989619,0.00007358801,0.0007826813,0.00001911814,0.00005143549,0.00000774297,0.00002024576,0.00001210786,0.00007120648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03379975,"threshold_uncertainty_score":0.3358087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04925782376151902,"score_gpt":0.4183949480028717,"score_spread":0.3691371242413527,"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."}}