{"id":"W4306670183","doi":"10.1039/d2tb01926d","title":"Detachment of bovine corneal endothelial cell sheets by cooling-induced surface hydration of poly[(<i>R</i>)-3-hydroxybutyrate]-based thermoresponsive copolymer coating","year":2022,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education - Singapore","keywords":"Copolymer; Materials science; Coating; Atom-transfer radical-polymerization; Covalent bond; Tissue engineering; Polymer chemistry; Chemical engineering; Polymer; Micelle; Contact angle; Extracellular matrix; Polymerization; Biophysics; Nanotechnology; Chemistry; Aqueous solution; Organic chemistry; Composite material; Biomedical engineering; Biochemistry","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":[0.00008395808,0.0003153861,0.0001164762,0.00008789757,0.0001041642,0.0001405371,0.0001231946,0.0001845131,0.0007734535],"category_scores_gemma":[0.00006783775,0.0001358582,0.0001660703,0.00008774557,0.00009471607,0.0001699669,0.0001058968,0.0003548517,0.000156424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001304374,"about_ca_system_score_gemma":0.0001457097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008088282,"about_ca_topic_score_gemma":0.001387256,"domain_scores_codex":[0.9999423,0.00000408872,0.000004918223,0.00001560723,0.00001575919,0.0000173972],"domain_scores_gemma":[0.9999617,0.000007309831,0.000012531,0.000004905712,0.00000626711,0.000007204098],"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":[0.000009228918,0.000002779477,0.00001778244,0.000007171159,8.672804e-7,0.00001161058,0.000004117229,0.0000258918,0.9996639,0.00001171193,0.000008124244,0.0002368158],"study_design_scores_gemma":[0.000004034103,0.00004048489,0.00109398,0.000002693576,0.000004179287,0.00003220269,0.00000663628,0.0006564347,0.9976705,0.000005966671,0.0004805873,0.000002329553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930645,0.0007829484,0.003909379,0.00004156588,0.00004527558,0.00002162489,0.0001384502,0.00005214762,0.001944248],"genre_scores_gemma":[0.992918,0.0007243709,0.003572708,0.00003464848,0.000009437051,0.00002532463,0.0002367794,0.0000181046,0.00246064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008088282,"threshold_uncertainty_score":0.002587497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007050179081320651,"score_gpt":0.2325025433500618,"score_spread":0.2254523642687412,"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."}}