{"id":"W2530364780","doi":"10.1021/acsbiomaterials.6b00527","title":"Self-Healing and Injectable Shear Thinning Hydrogels Based on Dynamic Oxaborole-Diol Covalent Cross-Linking","year":2016,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Self-healing hydrogels; Scaffold; Aqueous solution; Covalent bond; Radical polymerization; Materials science; Self-healing; Cell encapsulation; Chemical engineering; Polymerization; Glycopolymer; Polymer chemistry; Chemistry; Organic chemistry; Polymer; Biomedical engineering; Composite material","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":[0.0001110685,0.0003515978,0.0001096957,0.0001723573,0.00005855691,0.0002211965,0.0001829277,0.0001949209,0.0008047907],"category_scores_gemma":[0.000101973,0.0001966658,0.0001478402,0.000103046,0.000167241,0.0002896711,0.0001563783,0.0002764126,0.0001721518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460526,"about_ca_system_score_gemma":0.00011909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001224211,"about_ca_topic_score_gemma":0.000294267,"domain_scores_codex":[0.9999535,0.000003876197,0.000003529344,0.00001149524,0.00001360026,0.00001392345],"domain_scores_gemma":[0.99991,0.00001726947,0.00004064056,0.000005289442,0.000007294746,0.00001950832],"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":[0.0000125484,0.000004751314,0.00002656922,0.00001680796,0.000001285817,0.0000177454,0.000004019981,0.00005440712,0.9987792,0.00005649278,0.000008800565,0.001017388],"study_design_scores_gemma":[0.000004537455,0.00007442157,0.000344145,0.00000138197,0.000004954839,0.00007465601,0.000003552619,0.0002955697,0.9985784,0.0000232281,0.0005916547,0.000003416113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731733,0.002022937,0.0218426,0.00009192894,0.00005859217,0.00005246822,0.0002290575,0.0002212275,0.002307898],"genre_scores_gemma":[0.9814276,0.001255256,0.01401016,0.00006387811,0.00001856912,0.0000297458,0.000173516,0.00003668642,0.002984544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008047907,"threshold_uncertainty_score":0.002692282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008434959827940463,"score_gpt":0.242843314770535,"score_spread":0.2344083549425945,"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."}}