{"id":"W2994074935","doi":"10.1007/s13239-019-00447-w","title":"The Implementation of an Adjustable Afterload Module for Ex Situ Heart Perfusion","year":2019,"lang":"en","type":"article","venue":"Cardiovascular Engineering and Technology","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network; Ted Rogers Centre for Heart Research; University of Toronto","funders":"Toronto General and Western Hospital Foundation","keywords":"Afterload; Cardiology; Compliance (psychology); Perfusion; Resistor; Internal medicine; Diastole; Biomedical engineering; Materials science; Medicine; Hemodynamics; Aortic pressure; Blood pressure; Engineering; Electrical engineering","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":[0.0002841931,0.0001145671,0.0002547201,0.000103041,0.00003494385,0.00001327958,0.0001171255,0.0001217048,0.000007054828],"category_scores_gemma":[0.00001318219,0.0001004519,0.0001252951,0.0001599568,0.00001603935,0.00007846755,0.00003130826,0.00009717081,0.000004138611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002075662,"about_ca_system_score_gemma":0.000007260096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005655787,"about_ca_topic_score_gemma":0.000003223917,"domain_scores_codex":[0.9993171,0.000008003937,0.0001694176,0.0001757268,0.0001066948,0.0002230478],"domain_scores_gemma":[0.9994162,0.00002677039,0.00001395359,0.0004594093,0.0000451446,0.0000385664],"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":[0.00002067854,0.00003258096,0.006392276,0.001825221,0.001960631,0.000009883473,0.0002441938,0.1999692,0.5104921,0.01525779,0.0001834093,0.2636121],"study_design_scores_gemma":[0.002348106,0.0004183455,0.006554437,0.00008691744,0.0003521921,0.0001289454,0.001590826,0.3223832,0.5158617,0.0007370375,0.148733,0.0008053302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985797,0.006182109,0.007065527,0.0000224246,0.0002335041,0.000371043,0.000006321771,0.0002951801,0.00002691321],"genre_scores_gemma":[0.9986169,0.00005695402,0.001192005,0.000002716529,0.00002634658,0.00005965965,0.000007959874,0.00003029405,0.000007201754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2628067,"threshold_uncertainty_score":0.4096308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004176310260647973,"score_gpt":0.1980501217411337,"score_spread":0.1938738114804857,"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."}}