{"id":"W4321268615","doi":"10.52202/067657-0044","title":"Elastomeric Tubes with Self-regulated Distension: Experimental and Numerical Studies for Ex-vivo Heart Perfusion Devices and Soft Robotics Applications","year":2022,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ex vivo; Soft robotics; Elastomer; Distension; Biomedical engineering; Perfusion; Materials science; In vivo; Artificial intelligence; Computer science; Engineering; Medicine; Surgery; Cardiology; Composite material; Biology; Robot","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003550239,0.0001385178,0.000180623,0.00004108905,0.0004308067,0.00003049426,0.00005304731,0.00002113015,0.00001858556],"category_scores_gemma":[0.000002206151,0.0001172362,0.00002163855,0.0001902008,0.0000530429,0.00004917401,0.00009818609,0.00006859733,0.000001476636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000400976,"about_ca_system_score_gemma":0.000008062098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004271284,"about_ca_topic_score_gemma":0.000002150844,"domain_scores_codex":[0.9993711,0.000008376868,0.0001404591,0.0002183646,0.0001092949,0.0001524079],"domain_scores_gemma":[0.9996264,0.0001122775,0.00001442149,0.0001366023,0.00003918903,0.00007112109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001419931,0.001427404,0.03374704,0.0007251549,0.001002419,0.000005171215,0.00786123,0.7694025,0.1454004,0.01970737,0.01290377,0.007675544],"study_design_scores_gemma":[0.001764657,0.000781472,0.008919415,0.00002970978,0.000285105,0.000259126,0.01668464,0.8809214,0.006968319,0.0002000064,0.08211602,0.001070121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8508208,0.00765316,0.1379583,0.000907514,0.00009248127,0.001570126,0.00002895288,0.0007984912,0.0001701609],"genre_scores_gemma":[0.9753393,0.00004180504,0.02371183,0.00007648196,0.0000311907,0.0006885407,0.00001435277,0.00003026795,0.00006622334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1384321,"threshold_uncertainty_score":0.4780754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195579903090482,"score_gpt":0.2470197543336697,"score_spread":0.2350639553027648,"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."}}