{"id":"W1974190544","doi":"10.1016/j.eurpolymj.2015.03.067","title":"Biocompatible shape memory polymer actuators with high force capabilities","year":2015,"lang":"en","type":"article","venue":"European Polymer Journal","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Shape-memory polymer; Materials science; Thermoplastic polyurethane; Polylactic acid; Shape-memory alloy; Composite material; Glass transition; Polymer; Biocompatible material; Atmospheric temperature range; Polymer blend; Actuator; Chemical engineering; Elastomer; Copolymer; Biomedical engineering; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00103293,0.0003694028,0.0003823917,0.0002080063,0.0004774442,0.0004974738,0.0007163817,0.00004508942,0.001159771],"category_scores_gemma":[0.00002872358,0.0002693043,0.0001175011,0.0002319876,0.0002431898,0.0006060672,0.0001749845,0.0003849409,0.0006248383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000975213,"about_ca_system_score_gemma":0.0002525773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002800545,"about_ca_topic_score_gemma":0.00001045461,"domain_scores_codex":[0.9969226,0.0005669168,0.0005891959,0.0004083165,0.0007200146,0.0007929848],"domain_scores_gemma":[0.9981843,0.00007935656,0.0003476293,0.0004618944,0.0001405889,0.0007862452],"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":[0.001227553,0.0005901986,0.004645324,0.00009042848,0.0002815809,0.001310161,0.02165061,0.0005150058,0.9250422,0.002960221,0.0158727,0.02581401],"study_design_scores_gemma":[0.002636739,0.0008548457,0.0008128806,0.0001971421,0.0001121391,0.001920262,0.002364371,0.0004848711,0.9872881,0.0001323619,0.002285933,0.0009104002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744948,0.006264806,0.001013156,0.0005448147,0.001156971,0.0001151614,0.00002116068,0.0001717498,0.01621738],"genre_scores_gemma":[0.9924317,0.00002160511,0.001307169,0.0008515884,0.001136769,0.000002750229,0.000005708339,0.0001008105,0.004141925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06224585,"threshold_uncertainty_score":0.9999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865156473294571,"score_gpt":0.2231186909622895,"score_spread":0.2044671262293437,"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."}}