{"id":"W2902353521","doi":"10.1021/acsabm.8b00595","title":"Super Mechanical Stimuli Responsive Hydrogel: Dynamic Cues for Cell Applications","year":2018,"lang":"en","type":"article","venue":"ACS Applied Bio Materials","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Research Council Canada; Alberta Innovates","keywords":"Self-healing hydrogels; Materials science; Dynamic mechanical analysis; Hyaluronic acid; Cell encapsulation; Gellan gum; Ultraviolet; Chemical engineering; Tissue engineering; Biocompatible material; Composite material; Polymer chemistry; Biomedical engineering; Chemistry; Polymer","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":[0.0001505869,0.000355699,0.0001509707,0.0001541402,0.00008755967,0.0002168815,0.0002328304,0.0002816485,0.0016504],"category_scores_gemma":[0.0001042634,0.0001247637,0.0001636977,0.0001371512,0.0001606634,0.0004075434,0.0002214821,0.000377546,0.0004306529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376625,"about_ca_system_score_gemma":0.0001270157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001613694,"about_ca_topic_score_gemma":0.0004187322,"domain_scores_codex":[0.9999267,0.000008641638,0.000006299938,0.00001570104,0.00002753025,0.00001506459],"domain_scores_gemma":[0.9999191,0.00002255113,0.00002377073,0.000006410539,0.00001018715,0.00001818154],"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":[0.000007869589,0.000004715856,0.00001706129,0.00003908626,7.486915e-7,0.00002716364,0.00000642212,0.00005403068,0.9982885,0.0001054833,0.000043691,0.001405351],"study_design_scores_gemma":[0.000005380777,0.00004432246,0.0002605888,0.00000619287,0.000004612516,0.0001542932,0.00000838331,0.0007341775,0.9939809,0.00006682983,0.004727854,0.000006609317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806799,0.0288977,0.07594544,0.001005428,0.0004639354,0.0001626848,0.0008834351,0.000744155,0.0112174],"genre_scores_gemma":[0.9483415,0.007040884,0.03743963,0.0004651897,0.0001134709,0.0001515277,0.0003197468,0.00008148234,0.006046402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0016504,"threshold_uncertainty_score":0.005521119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595152778480031,"score_gpt":0.2659506183350153,"score_spread":0.249999090550215,"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."}}