{"id":"W4224443286","doi":"10.1016/j.bprint.2022.e00209","title":"FRESH bioprinting of biodegradable chitosan thermosensitive hydrogels","year":2022,"lang":"en","type":"article","venue":"Bioprinting","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; Chitosan; Chemical engineering; Materials science; Swelling; Rheology; Poloxamer; Gelatin; Sodium bicarbonate; Sodium alginate; Composite material; Sodium; Nanotechnology; Chemistry; Polymer chemistry; Copolymer; Polymer; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009515391,0.0002190777,0.0003124605,0.0003066748,0.0003034229,0.00003862971,0.000562952,0.00007830562,0.0005409819],"category_scores_gemma":[0.0002602248,0.0002349211,0.000144112,0.0008862634,0.0001560891,0.00007324095,0.0008462082,0.0006690174,0.00003452586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008483219,"about_ca_system_score_gemma":0.0000457682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001385462,"about_ca_topic_score_gemma":0.000002759182,"domain_scores_codex":[0.9976201,0.0001025859,0.0005128753,0.0003507125,0.0007421548,0.0006715546],"domain_scores_gemma":[0.9990311,0.0002209463,0.0001129314,0.0004555144,0.00004384901,0.0001356198],"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":[0.00000811889,0.00005454427,0.008555447,0.0001308821,0.00008996376,0.00002330969,0.0003897649,0.002037788,0.9414709,0.0009156158,0.0001143561,0.04620927],"study_design_scores_gemma":[0.0004106813,0.00006327815,0.01133199,0.00008419204,0.00001563214,0.00003841032,0.001164129,0.03218832,0.9475585,0.0002665135,0.006440708,0.0004376108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752092,0.0002999373,0.0007419296,0.0001060033,0.0004117863,0.0002252735,0.00002262737,0.0004615325,0.02252174],"genre_scores_gemma":[0.9955712,0.00002128573,0.004061908,0.00002542674,0.0001218395,0.00003678237,0.000009346909,0.00006936092,0.0000828686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04577166,"threshold_uncertainty_score":0.9579805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553783447484571,"score_gpt":0.2381463987910836,"score_spread":0.2226085643162379,"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."}}