{"id":"W4396240285","doi":"10.1002/adhm.202302642","title":"Heart‐on‐a‐Chip Model of Epicardial–Myocardial Interaction in Ischemia Reperfusion Injury","year":2024,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ted Rogers Centre for Heart Research; University Health Network","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada; Killam Trusts; Canada Foundation for Innovation; Stem Cell Network; Canada Research Chairs","keywords":"Cardiology; Myocyte; Ischemia; Myocardial ischemia; Internal medicine; Medicine; Population; Cardiac muscle","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":[0.0001864491,0.0002987825,0.0002755265,0.0001968245,0.000158923,0.0003722473,0.0005663853,0.000676001,0.001435582],"category_scores_gemma":[0.0001097148,0.0002467609,0.0002941209,0.0001276246,0.0001966606,0.0001766493,0.0003411586,0.0003959615,0.0003160709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148275,"about_ca_system_score_gemma":0.0004316982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009154507,"about_ca_topic_score_gemma":0.001437362,"domain_scores_codex":[0.999858,0.00001557294,0.000006815151,0.00004316701,0.00004411826,0.00003228971],"domain_scores_gemma":[0.999899,0.00003018547,0.00001833875,0.00001627266,0.00001509472,0.00002095162],"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":[0.0001494768,0.0001482578,0.0006912473,0.0001420525,0.00003607113,0.0003681851,0.0000684886,0.02583882,0.9636012,0.001608043,0.0006327672,0.006715456],"study_design_scores_gemma":[0.00005068154,0.00116759,0.00696965,0.00002889168,0.00009938401,0.0004431111,0.0001032136,0.285762,0.6936496,0.0007685471,0.01089624,0.00006118458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7924336,0.00152984,0.1964992,0.0002446497,0.0002233194,0.0001552692,0.001285582,0.0008781566,0.00675041],"genre_scores_gemma":[0.9282276,0.0007811358,0.06361084,0.0001338929,0.00001663401,0.0002963486,0.0006303446,0.00005205523,0.006251148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001435582,"threshold_uncertainty_score":0.004802465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639360197687353,"score_gpt":0.3513014650551782,"score_spread":0.3249078630783047,"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."}}