{"id":"W2885364277","doi":"10.1152/ajpheart.00737.2017","title":"Cardiovascular aging and the microcirculation of skeletal muscle: using contrast-enhanced ultrasound","year":2018,"lang":"en","type":"article","venue":"American Journal of Physiology-Heart and Circulatory Physiology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Microcirculation; Skeletal muscle; Contrast-enhanced ultrasound; Medicine; Ultrasound; Cardiology; Biomedical engineering; Radiology; Internal medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005117966,0.0001960569,0.001083052,0.0001015876,0.0001591946,0.000006746942,0.00009179042,0.000086649,0.00004888541],"category_scores_gemma":[0.0001783263,0.0001248289,0.0003843335,0.000199918,0.004063147,0.00008006008,0.00004026246,0.000254766,0.000001712095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002351204,"about_ca_system_score_gemma":0.00009506113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003429953,"about_ca_topic_score_gemma":5.25792e-7,"domain_scores_codex":[0.9982461,0.0005649558,0.0004857123,0.0002841243,0.0001691157,0.0002499578],"domain_scores_gemma":[0.9982495,0.0005266076,0.0004863922,0.0002883389,0.0003275105,0.0001216995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001042032,0.0000446434,0.0002433801,0.00003076032,0.0004804222,2.168808e-7,0.000437848,0.00006695854,0.9942535,0.0001995515,0.000007867711,0.003192803],"study_design_scores_gemma":[0.002206506,0.0007130568,0.9831498,0.00005864274,0.000309497,0.0002652185,0.0004986794,0.0002211976,0.01079049,0.001319016,0.0003390905,0.0001287646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998005,0.001477418,0.0001002153,0.0000790245,0.0001302904,0.0001776031,0.000003419667,0.00000994084,0.00001705281],"genre_scores_gemma":[0.9983909,0.0001479692,0.000330891,0.0006204228,0.0004853403,0.000002192063,0.000003172499,0.0000163395,0.000002844753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.983463,"threshold_uncertainty_score":0.9986472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471459488278406,"score_gpt":0.2678878549665328,"score_spread":0.2531732600837488,"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."}}