{"id":"W4206357651","doi":"10.1039/d1gc01799c","title":"Chitosan-based inks for 3D printing and bioprinting","year":2021,"lang":"en","type":"article","venue":"Green Chemistry","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"3D bioprinting; Regenerative medicine; Tissue engineering; Chitosan; 3D printing; Biomaterial; Drug delivery; Nanotechnology; Biomedical engineering; Biocompatible material; 3d printed; Materials science; Chemistry; Engineering; Chemical engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001983754,0.0001252969,0.00014072,0.0000212255,0.00008189059,0.00005486725,0.0001438798,0.0001490242,0.00009951452],"category_scores_gemma":[0.0004822181,0.000139639,0.00004800537,0.0001614716,0.00006787587,0.00002674396,0.0001211047,0.0002924873,0.000004616553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002328692,"about_ca_system_score_gemma":0.00005599024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007752245,"about_ca_topic_score_gemma":0.000001122246,"domain_scores_codex":[0.9989995,0.000006829984,0.0001885222,0.0002550905,0.0001886834,0.0003613478],"domain_scores_gemma":[0.9993513,0.0002024661,0.00002209386,0.0002425031,0.00004675848,0.0001349233],"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":[0.000002761027,0.00001187784,0.004725015,0.001416711,0.00002762938,0.00001334142,0.00002964617,0.00009205619,0.9037945,0.000009437763,0.00005813027,0.08981888],"study_design_scores_gemma":[0.0003473019,0.000003156515,0.001518989,0.0001087346,0.000007221624,0.00001115,0.0000292573,0.06983799,0.9214802,0.00005169129,0.006434482,0.000169794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737658,0.0002639215,0.01200513,0.0003562596,0.00008890773,0.0001031236,0.00001073613,0.0003096979,0.01309645],"genre_scores_gemma":[0.970744,0.00001150785,0.02861563,0.00003889388,0.0002616875,0.00003055795,0.00002207558,0.00003833824,0.0002373479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08964908,"threshold_uncertainty_score":0.5694312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272694755273265,"score_gpt":0.2451521857256085,"score_spread":0.2324252381728758,"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."}}