{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003488973,0.000185105,0.0005978601,0.0002443498,0.00002799439,0.000009373939,0.00003960356,0.0001314339,0.00003889724],"category_scores_gemma":[0.0001124458,0.0001476687,0.00007869612,0.0002051482,0.00003356497,0.00008128588,0.00002498099,0.0002678936,0.00002273431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539779,"about_ca_system_score_gemma":0.0001165719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008228428,"about_ca_topic_score_gemma":0.000003685613,"domain_scores_codex":[0.9985871,0.00008074051,0.0005129582,0.0003463509,0.0002278623,0.0002450179],"domain_scores_gemma":[0.9994223,0.00005959503,0.00005360536,0.000281851,0.00006558839,0.0001171276],"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":[0.0005226916,0.00003144871,0.00005508525,0.0008262381,0.00002018512,0.00002290134,0.000434429,0.002770927,0.9879682,0.001297531,0.0007702521,0.005280126],"study_design_scores_gemma":[0.0006006676,0.0006352442,0.0002341787,0.001932076,0.00002480186,0.00003202726,0.0001230966,0.001252519,0.9902212,0.000185296,0.004619161,0.0001397549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872427,0.002568774,0.0003468789,0.006569655,0.002545922,0.0004405247,0.000062552,0.0001349526,0.00008804707],"genre_scores_gemma":[0.996524,0.000356338,0.001643574,0.0002707608,0.0006598363,0.00005738662,0.00006164323,0.00004412739,0.0003822705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009281369,"threshold_uncertainty_score":0.6021753,"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."}}