{"id":"W3000472132","doi":"10.1016/j.msec.2020.110674","title":"Assessing the potential of boronic acid/chitosan/bioglass composite materials for tissue engineering applications","year":2020,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation; Canada Foundation for Innovation","keywords":"Chitosan; Materials science; Composite number; Tissue engineering; Simulated body fluid; Boronic acid; Scanning electron microscope; Chemical engineering; Biomedical engineering; Nanotechnology; Composite material; Organic chemistry; 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":[0.0004224646,0.0003811144,0.0001324871,0.0003793634,0.0002208534,0.0003791694,0.0002151522,0.0005202271,0.001714778],"category_scores_gemma":[0.0004094835,0.0001682268,0.0002279835,0.0001947829,0.0002035403,0.0003202558,0.0001452416,0.0002348484,0.0002561099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003741081,"about_ca_system_score_gemma":0.0003373959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188028,"about_ca_topic_score_gemma":0.004508196,"domain_scores_codex":[0.9997925,0.00003417522,0.00001345933,0.00002543429,0.00008362561,0.00005072541],"domain_scores_gemma":[0.999745,0.00009529483,0.00004743014,0.00001154694,0.00006721782,0.00003352349],"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":[0.00009690288,0.0000185468,0.0001114798,0.00004825351,0.000003480739,0.00001779512,0.000007178888,0.0002147452,0.9984535,0.00002554528,0.00001098201,0.0009916963],"study_design_scores_gemma":[0.000006146288,0.0003046356,0.0009400813,0.000004939383,0.00001989801,0.00002493295,0.00002484909,0.001001675,0.9972308,0.00001327689,0.0004233948,0.000005428137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924183,0.002216626,0.002654237,0.00004195323,0.00002596817,0.00005188711,0.0001170788,0.00003242866,0.002441481],"genre_scores_gemma":[0.9941863,0.0006629911,0.003626237,0.000025003,0.000007121554,0.00003011833,0.00006723421,0.00001050234,0.001384552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002188028,"threshold_uncertainty_score":0.00573647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009433966093613442,"score_gpt":0.2310967478061266,"score_spread":0.2216627817125132,"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."}}