{"id":"W2070447273","doi":"10.1016/j.mvr.2006.06.002","title":"Novel methodology to comprehensively assess retinal arteriolar vascular reactivity to hypercapnia","year":2006,"lang":"en","type":"article","venue":"Microvascular Research","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University of Waterloo","funders":"CH Foundation","keywords":"Hypercapnia; Retinal; Arteriole; Blood flow; Medicine; Anesthesia; Hemodynamics; Heart rate; Cardiology; Microcirculation; Blood pressure; Internal medicine; Respiratory system; Ophthalmology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001404234,0.0006643191,0.0005572623,0.001350361,0.0004876614,0.0008236537,0.0006627881,0.001024733,0.001580359],"category_scores_gemma":[0.001188918,0.0005919648,0.0004131227,0.0005131153,0.0003742067,0.0008904524,0.0005041502,0.001338772,0.0005218787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344985,"about_ca_system_score_gemma":0.0005761929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008673308,"about_ca_topic_score_gemma":0.002844271,"domain_scores_codex":[0.9995183,0.0001400489,0.00002405285,0.0001463953,0.0001315735,0.00003970027],"domain_scores_gemma":[0.999095,0.0002873769,0.0001598845,0.0001316488,0.0002444942,0.00008168929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001093892,0.00009533986,0.002418508,0.0001161616,0.00007630026,0.00006417711,0.000048174,0.0002205664,0.9719601,0.0007209288,0.0005757129,0.02359447],"study_design_scores_gemma":[0.00006639877,0.0006350609,0.02239144,0.00004736137,0.0003288469,0.002703156,0.0000975326,0.02792535,0.9316005,0.001649603,0.0124678,0.00008692136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1169926,0.002718473,0.8759083,0.0002911472,0.0001707658,0.0001715246,0.0003949818,0.001121442,0.002230668],"genre_scores_gemma":[0.3002766,0.002203041,0.691184,0.0005093421,0.0001936175,0.0008014581,0.0005630515,0.0002276874,0.004041148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001580359,"threshold_uncertainty_score":0.007426441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2199119867396652,"score_gpt":0.4359607898573115,"score_spread":0.2160488031176463,"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."}}