{"id":"W3206927264","doi":"10.1016/j.ijbiomac.2021.10.078","title":"3D printing and properties of cellulose nanofibrils-reinforced quince seed mucilage bio-inks","year":2021,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Materials Research; Aalto-Yliopisto; Academy of Finland","keywords":"Self-healing hydrogels; Mucilage; Cellulose; Materials science; Porosity; Biocompatible material; 3d printed; Chemical engineering; Composite material; Biomedical engineering; Polymer chemistry; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001851516,0.0002487783,0.0001050434,0.000231684,0.00008056621,0.0002608397,0.0001143105,0.0002448808,0.0005029116],"category_scores_gemma":[0.0003222924,0.0001229928,0.0001759844,0.0001412449,0.000161418,0.0002278436,0.0001234998,0.0002166393,0.0001385395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517314,"about_ca_system_score_gemma":0.00006499816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003545134,"about_ca_topic_score_gemma":0.0006687536,"domain_scores_codex":[0.9999089,0.000007386599,0.000009446036,0.00002495199,0.00003425096,0.00001513885],"domain_scores_gemma":[0.99979,0.00005670808,0.0000697355,0.0000235038,0.00003426253,0.00002584767],"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":[0.00001011867,0.000002864221,0.0001023531,0.00001928463,0.000001483074,0.00005092995,0.00002053737,0.0001891026,0.9985821,0.00002204309,0.000007824116,0.0009913695],"study_design_scores_gemma":[0.000001080512,0.00002096794,0.001429118,0.000002245255,0.000003227545,0.00004546624,0.000007351034,0.0008668278,0.9972796,0.000007031377,0.0003323311,0.000004685721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907048,0.0006373954,0.007289309,0.0000293158,0.00002210628,0.00001373402,0.0001846923,0.0001371947,0.0009813637],"genre_scores_gemma":[0.9930936,0.0002791313,0.005555685,0.00001746007,0.000004711047,0.00001478762,0.00007595128,0.00003225012,0.0009263413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005029116,"threshold_uncertainty_score":0.001682401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407493223822798,"score_gpt":0.2570704269212714,"score_spread":0.2329954946830434,"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."}}