{"id":"W3173699915","doi":"10.1016/j.yjmcc.2021.06.012","title":"An organ-on-a-chip model for pre-clinical drug evaluation in progressive non-genetic cardiomyopathy","year":2021,"lang":"en","type":"article","venue":"Journal of Molecular and Cellular Cardiology","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; Ted Rogers Centre for Heart Research; University of Toronto","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; Canada First Research Excellence Fund; Canada Research Chairs; University of Toronto; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Cardiomyopathy; Drug; Medicine; Internal medicine; Cardiology; Computational biology; Pharmacology; Heart failure; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006191753,0.0004802109,0.0007199823,0.0003098968,0.0002756589,0.0005982356,0.0007466883,0.0008914036,0.002162682],"category_scores_gemma":[0.0004207928,0.000281161,0.0007920925,0.0001550872,0.0003140287,0.0003023363,0.0004784815,0.001336471,0.0008054391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443957,"about_ca_system_score_gemma":0.0006299885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264029,"about_ca_topic_score_gemma":0.002903582,"domain_scores_codex":[0.9994758,0.0001030988,0.00002130709,0.0001535479,0.0001346202,0.0001116285],"domain_scores_gemma":[0.9995542,0.0001514631,0.00005121354,0.00008616481,0.00007317476,0.00008378758],"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":[0.001093412,0.0006047819,0.001546438,0.0002383866,0.00009087791,0.0002408274,0.00006390768,0.003644341,0.9771068,0.0007771677,0.00187382,0.01271929],"study_design_scores_gemma":[0.0003014689,0.008970259,0.02156754,0.00008107311,0.0005988002,0.0008776282,0.0002659629,0.09225199,0.8539461,0.001744027,0.01924485,0.0001503712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8118314,0.004052038,0.1682684,0.0009034906,0.001501632,0.0005795116,0.00417183,0.001560424,0.00713124],"genre_scores_gemma":[0.9273953,0.001555233,0.06207996,0.0008379308,0.00009087381,0.0006655896,0.001846697,0.0001061839,0.005422177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002162682,"threshold_uncertainty_score":0.007234931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586395876111623,"score_gpt":0.3417785922706974,"score_spread":0.3159146335095812,"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."}}