{"id":"W4392265604","doi":"10.1016/j.cej.2024.149845","title":"Compostable lignin grafted poly(ε-caprolactone) polyurethane biomedical materials: Shape memory, foaming capabilities, and biocompatibility","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lignin; Polyurethane; Caprolactone; Biocompatibility; Materials science; Shape-memory alloy; Chemical engineering; Polymer; Shape-memory polymer; Glycerol; Polyol; Composite material; Chemistry; Polymerization; Organic chemistry","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":[0.0001317144,0.0003267995,0.0001208517,0.0002143469,0.00007437444,0.0001969306,0.0001527066,0.0002755743,0.0004351369],"category_scores_gemma":[0.000181315,0.0001143168,0.0001784323,0.0001714366,0.0001177013,0.0002645678,0.0001716658,0.0002661133,0.0001429091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278913,"about_ca_system_score_gemma":0.00008984446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390544,"about_ca_topic_score_gemma":0.0003656407,"domain_scores_codex":[0.9999132,0.00001254515,0.000008407638,0.00001882151,0.00002647008,0.00002045576],"domain_scores_gemma":[0.9999009,0.00001400655,0.00004189528,0.00000644687,0.00001616554,0.00002055724],"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":[0.00002445224,0.00001250925,0.0000970691,0.00005331904,0.000002420184,0.00005074006,0.00001202605,0.00008409865,0.9969407,0.00003803282,0.000008900704,0.002675729],"study_design_scores_gemma":[0.000003321922,0.0001700709,0.001024377,0.00000408907,0.000006993022,0.0001300258,0.00001137097,0.0005069264,0.9973507,0.00001794234,0.0007697008,0.000004563911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894651,0.002492209,0.006617995,0.00005436593,0.00001925147,0.00002551082,0.00009098112,0.00009386685,0.001140727],"genre_scores_gemma":[0.9951612,0.0007921157,0.003161868,0.00003087599,0.000007528339,0.00001367262,0.00009118178,0.000008189441,0.0007333583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004351369,"threshold_uncertainty_score":0.001455724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00848277716671809,"score_gpt":0.2196802929264955,"score_spread":0.2111975157597774,"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."}}