{"id":"W2492962850","doi":"10.1038/srep30854","title":"Composite alginate gels for tunable cellular microenvironment mechanics","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Materials Research; National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Self-healing hydrogels; Biopolymer; Biophysics; Chemistry; Stiffness; Matrix (chemical analysis); Cell mechanics; Materials science; Cell; Nanotechnology; Biomedical engineering; Composite material; Biochemistry; Polymer; Cytoskeleton; Biology; 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":[0.0001578511,0.0003496219,0.0001206381,0.0001870534,0.0001413205,0.0002653398,0.0001712564,0.0002678595,0.000815399],"category_scores_gemma":[0.0001854192,0.000144832,0.0001629897,0.0001038467,0.0001429002,0.0002693148,0.0001953475,0.000337074,0.0002003645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566274,"about_ca_system_score_gemma":0.0001717311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004461076,"about_ca_topic_score_gemma":0.001452996,"domain_scores_codex":[0.999904,0.00001192603,0.000007831688,0.00002007313,0.00003666742,0.00001937692],"domain_scores_gemma":[0.9998467,0.00004713087,0.00004362103,0.00001355421,0.00002111798,0.00002785586],"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":[0.00001212776,0.000004304254,0.00002904451,0.00001895968,0.000001411721,0.000008891074,0.000007331111,0.0001060573,0.9988286,0.00006589649,0.00002335965,0.0008940031],"study_design_scores_gemma":[0.000008215194,0.00006799775,0.0005104266,0.000004707872,0.000007842761,0.00006086147,0.000006790543,0.001470289,0.99607,0.00006450656,0.001721935,0.000006489928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562276,0.004394937,0.03525401,0.000272409,0.0001117631,0.00004723,0.0003452232,0.0003774912,0.00296941],"genre_scores_gemma":[0.9783586,0.001122964,0.01846129,0.0000926648,0.0000172635,0.00004906254,0.0001092873,0.00004353421,0.001745405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000815399,"threshold_uncertainty_score":0.002727747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007604766151194284,"score_gpt":0.2163480226536058,"score_spread":0.2087432565024115,"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."}}