{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001467498,0.0005383162,0.0001977917,0.0002818851,0.0001842671,0.0004133717,0.0003804401,0.0005669519,0.002163921],"category_scores_gemma":[0.0002590229,0.0002736225,0.0001720493,0.0001928756,0.0002834552,0.0006734094,0.0003559496,0.0005023183,0.001201394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301033,"about_ca_system_score_gemma":0.0001467746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002029183,"about_ca_topic_score_gemma":0.000716499,"domain_scores_codex":[0.9998575,0.00001139338,0.000009889237,0.00003722746,0.00005409579,0.00002982662],"domain_scores_gemma":[0.9998112,0.00004733739,0.00005682698,0.00002209179,0.00003366351,0.00002893445],"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":[0.00003024129,0.000008450146,0.0000284734,0.00002202351,0.000001435467,0.00002441086,0.00001357343,0.00004597147,0.9966726,0.0001770141,0.000132532,0.002843233],"study_design_scores_gemma":[0.000007450179,0.00006517833,0.0004581862,0.000002029518,0.000005106646,0.00009221901,0.000007096235,0.0006019821,0.9953449,0.00006211529,0.003348195,0.000005459844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297949,0.008479355,0.03831603,0.0006387272,0.000390959,0.00008477333,0.0004314473,0.001350467,0.02051331],"genre_scores_gemma":[0.9665362,0.001357459,0.01587112,0.000289046,0.0001059298,0.00008878556,0.0002610245,0.0001347949,0.01535558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002163921,"threshold_uncertainty_score":0.007239044,"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."}}