{"id":"W4387297168","doi":"10.1111/aor.14655","title":"Organ blood flow assessment with the <scp>ModulHeart</scp> cardiorenal support device","year":2023,"lang":"en","type":"article","venue":"Artificial Organs","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Walsh Medical Devices (Canada)","funders":"","keywords":"Medicine; Cardiology; Perfusion; Internal medicine; Hemodynamics; Blood flow; Blood pressure; Renal circulation; Ventricle; Descending aorta; Aorta; Cardiac output; Aortic pressure; Cerebral perfusion pressure; Renal blood flow; Cerebral blood flow; Pulse pressure; Coronary perfusion pressure; Anesthesia; Resuscitation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005622705,0.0002997539,0.0003353278,0.0001049233,0.0002512125,0.0001332573,0.0003735923,0.0001258301,0.0003398806],"category_scores_gemma":[0.00005621093,0.0002186234,0.0001065053,0.001137985,0.00007078251,0.0001738742,0.00007418893,0.0003885138,0.001648356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005743057,"about_ca_system_score_gemma":0.0001344209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001609027,"about_ca_topic_score_gemma":0.0002635666,"domain_scores_codex":[0.997893,0.0000731603,0.0003587049,0.000382638,0.0006157118,0.0006767618],"domain_scores_gemma":[0.9987871,0.0002325997,0.00004854748,0.0006188669,0.00008954429,0.0002233225],"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":[0.00002161112,0.0006584689,0.1386757,0.0009381156,0.00482335,0.003393136,0.01728751,0.1431247,0.4746514,0.01461827,0.1820683,0.01973931],"study_design_scores_gemma":[0.001811592,0.0008134465,0.1653724,0.0001309842,0.001889778,0.0004135198,0.009498337,0.1117416,0.3781868,0.001671393,0.3272109,0.00125936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901792,0.00003053372,0.002571678,0.0005045519,0.0005585008,0.0003922731,0.00004797645,0.001389317,0.004325954],"genre_scores_gemma":[0.9984188,0.00000465635,0.0003910181,0.0002596624,0.0004228968,0.0000488496,0.00007225984,0.0001218443,0.0002600335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1451425,"threshold_uncertainty_score":0.999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165248575138067,"score_gpt":0.2305095731331082,"score_spread":0.2139847156193015,"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."}}