{"id":"W4212855256","doi":"10.1161/jaha.121.022991","title":"Myocardial Cytoskeletal Adaptations in Advanced Kidney Disease","year":2022,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; School of Medicine, Indiana University; National Institutes of Health","keywords":"Kidney disease; Cytoskeleton; Heart failure; Focal adhesion; Uremia; Myocardial fibrosis; Fibrosis; Hemodialysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003124927,0.0001916786,0.0002776289,0.0004400925,0.0003711876,0.0003700631,0.000166072,0.000297261,0.0009691008],"category_scores_gemma":[0.0002824264,0.0001147884,0.0002083514,0.0003987295,0.0002262326,0.0002202182,0.0004085639,0.0003302975,0.00006443379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238394,"about_ca_system_score_gemma":0.000167766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007726159,"about_ca_topic_score_gemma":0.0009850623,"domain_scores_codex":[0.9998868,0.00001821161,0.000009312659,0.00003841936,0.00002453552,0.00002276662],"domain_scores_gemma":[0.99976,0.00001994853,0.0001283843,0.00001222703,0.00002930357,0.00005022311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002368342,0.0002439933,0.8741483,0.0001409418,0.0001322062,0.00100345,0.0002488488,0.0003146758,0.1087975,0.0002414878,0.0001650768,0.01219511],"study_design_scores_gemma":[0.00001127116,0.0002242182,0.9971899,0.000007602352,0.00002587494,0.0004606869,0.00007572774,0.0002187559,0.001464245,0.00009416915,0.0002240324,0.00000346882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987388,0.0005462945,0.0002149142,0.00003016279,0.000003451329,0.00001140786,0.0001160626,0.000003670044,0.0003352566],"genre_scores_gemma":[0.9991245,0.000248731,0.0002298327,0.00003154179,0.00001311456,0.00001295994,0.0001746057,0.000001072772,0.0001636096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009691008,"threshold_uncertainty_score":0.003242016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009325305105932609,"score_gpt":0.2744821706261104,"score_spread":0.2651568655201778,"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."}}