{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000409331,0.0003128785,0.0003221555,0.0000685755,0.0003025511,0.0000791905,0.0005425785,0.0003584503,0.0001179724],"category_scores_gemma":[0.00006991175,0.0002900308,0.00007889246,0.0001273502,0.0002704924,0.000006064422,0.0002480228,0.00005461627,0.0004306418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003744393,"about_ca_system_score_gemma":0.0001110145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000155494,"about_ca_topic_score_gemma":0.00002316312,"domain_scores_codex":[0.99806,0.00004890819,0.0004828544,0.0007898536,0.0001538759,0.0004645467],"domain_scores_gemma":[0.9984935,0.00005192742,0.0001613067,0.0009791419,0.0001876913,0.0001264218],"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":[0.0003015681,0.0001268659,0.000002535125,0.00004337291,0.00005007123,1.610948e-7,0.00003784152,0.000001359002,0.9953544,0.001580578,0.001502717,0.0009985424],"study_design_scores_gemma":[0.0004431941,0.0001757729,0.00001738954,0.00000517379,0.00005842969,0.000004099265,0.00006332224,0.000009990268,0.8627738,0.00173279,0.1343924,0.0003236145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837912,0.0001969516,0.01157988,0.0003038348,0.000127513,0.002384162,0.0005747922,0.0001044441,0.0009372683],"genre_scores_gemma":[0.9881882,0.0001162099,0.005241667,0.0005880923,0.0006087986,0.003875578,0.0006902498,0.00009998082,0.0005912047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328897,"threshold_uncertainty_score":0.9999552,"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."}}