{"id":"W2053604203","doi":"10.1115/sbc2012-80204","title":"A Microfabricated Platform to Measure and Manipulate the Mechanics of Engineered Cardiac Microtissues","year":2012,"lang":"en","type":"article","venue":"ASME 2012 Summer Bioengineering Conference, Parts A and B","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Contractility; Contraction (grammar); Rigidity (electromagnetism); Biomedical engineering; Materials science; Microelectromechanical systems; Stiffness; Tissue engineering; Matrix (chemical analysis); Cardiac muscle; Nanotechnology; Computer science; Biological system; Engineering; Composite material; Cardiology; Anatomy; Biology","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":[0.0002194303,0.0003274606,0.0002962905,0.0002893867,0.0002334782,0.0002763404,0.0004126189,0.0005493239,0.0007479945],"category_scores_gemma":[0.0003054212,0.0002148236,0.0002146566,0.0001842842,0.0002336563,0.0002402472,0.0003615203,0.0006137599,0.0003184744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283172,"about_ca_system_score_gemma":0.0002183774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003311302,"about_ca_topic_score_gemma":0.0007902303,"domain_scores_codex":[0.9997577,0.00002027628,0.00001420489,0.00005313,0.000130077,0.0000247162],"domain_scores_gemma":[0.9998186,0.00005539909,0.00004584116,0.00003847049,0.00002137663,0.00002026916],"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":[0.0000040949,0.000007638673,0.0000655262,0.00001080129,0.000001676615,0.00001940332,0.000006112087,0.0001847777,0.9970776,0.0001026138,0.00005778307,0.002462039],"study_design_scores_gemma":[0.000008748245,0.0001489331,0.002358072,0.000003576565,0.000008681142,0.0002017678,0.00001107473,0.005836774,0.9878715,0.0001631983,0.003374757,0.00001286813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.673155,0.003267409,0.3144254,0.0007410059,0.0003792358,0.0002420364,0.001366592,0.001668311,0.004755009],"genre_scores_gemma":[0.7092267,0.001226419,0.285466,0.0003299939,0.00008711548,0.0003879467,0.0005788072,0.00007509121,0.002621841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007479945,"threshold_uncertainty_score":0.002502322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752951142224096,"score_gpt":0.2603338828343081,"score_spread":0.2128043714120671,"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."}}