{"id":"W2614261539","doi":"10.1002/adbi.201700058","title":"3D Printing of Microstructured and Stretchable Chitosan Hydrogel for Guided Cell Growth","year":2017,"lang":"en","type":"article","venue":"Advanced Biosystems","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; China Scholarship Council; Canada Foundation for Innovation","keywords":"Self-healing hydrogels; Microfiber; Materials science; Nanotechnology; Chitosan; Tissue engineering; Cell encapsulation; Composite material; Biomedical engineering; Chemical engineering; Polymer 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":[0.0001379682,0.0004360145,0.0001789353,0.0003420941,0.0001358568,0.0003058256,0.00031611,0.0003507686,0.001239926],"category_scores_gemma":[0.0001895827,0.0002674652,0.0004619239,0.0002512017,0.0001908821,0.0001929164,0.000200551,0.0003544497,0.0005859573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004777493,"about_ca_system_score_gemma":0.0002791678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028835,"about_ca_topic_score_gemma":0.003027658,"domain_scores_codex":[0.9998605,0.00000760034,0.0000128484,0.00002444913,0.0000705002,0.00002404721],"domain_scores_gemma":[0.9998627,0.00003352852,0.00004510999,0.00002756955,0.00001534831,0.00001576569],"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":[0.000007576031,0.000006000551,0.00002930358,0.00002577183,0.000002428631,0.00007445028,0.00001004377,0.0004575328,0.9970914,0.0001167029,0.00006590848,0.002112805],"study_design_scores_gemma":[0.00000566954,0.0000315768,0.0005601362,0.000002966085,0.000005763262,0.0001059582,0.000003100359,0.003114247,0.9944213,0.00003902839,0.001700719,0.000009498143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8652653,0.002500307,0.1131414,0.0003073148,0.0004045491,0.0002010683,0.001861037,0.001827067,0.01449194],"genre_scores_gemma":[0.9100325,0.0009568719,0.08310757,0.00009867705,0.00003389553,0.00009832346,0.0005004571,0.0001504292,0.005021411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001239926,"threshold_uncertainty_score":0.004147947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267633301206847,"score_gpt":0.2692494477936321,"score_spread":0.2565731147815636,"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."}}