{"id":"W2283620037","doi":"10.1016/j.trsl.2016.02.006","title":"Differential impact of mechanical unloading on structural and nonstructural components of the extracellular matrix in advanced human heart failure","year":2016,"lang":"en","type":"article","venue":"Translational research","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; Zaklade Adris; Heart and Stroke Foundation of Canada","keywords":"Extracellular matrix; Heart failure; Matrix (chemical analysis); Medicine; Structural engineering; Cell biology; Biology; Cardiology; Engineering; Materials science; Composite material","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":[0.0002812318,0.0002243552,0.0003525777,0.0002088287,0.0001923751,0.0004252562,0.000114067,0.0003218251,0.001603762],"category_scores_gemma":[0.0004479728,0.0001480218,0.0002019724,0.0001727161,0.0005518308,0.0003142449,0.0002152248,0.0003793873,0.0001049139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149466,"about_ca_system_score_gemma":0.0001386673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003533889,"about_ca_topic_score_gemma":0.0004867567,"domain_scores_codex":[0.9998816,0.00002872499,0.00000748602,0.00001592399,0.00002223571,0.00004390955],"domain_scores_gemma":[0.9997674,0.00007183028,0.00004199291,0.00002529317,0.00002209847,0.00007149989],"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":[0.01202588,0.0003551384,0.01421626,0.00008402648,0.00006154806,0.0005301283,0.0001189713,0.0003001185,0.9588232,0.0002191068,0.00007957705,0.01318607],"study_design_scores_gemma":[0.0001701564,0.004650792,0.8450202,0.00002063756,0.0001534744,0.0007919963,0.0004375096,0.00155783,0.1459973,0.000579359,0.0005977452,0.00002305569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990597,0.000462476,0.0001191482,0.00003472384,0.00001234696,0.000003229087,0.00002653432,0.000002077369,0.0002797025],"genre_scores_gemma":[0.9994604,0.0001410925,0.00005746257,0.00002625765,0.0000114695,0.000006172143,0.00003894678,0.000002259226,0.0002560195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001603762,"threshold_uncertainty_score":0.005365074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05087055971876765,"score_gpt":0.3985937185435144,"score_spread":0.3477231588247468,"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."}}