{"id":"W2971856226","doi":"10.1039/c9tb01398a","title":"<i>In situ</i>-forming, mechanically resilient hydrogels for cell delivery","year":2019,"lang":"en","type":"review","venue":"Journal of Materials Chemistry B","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; In situ; Materials science; Biomedical engineering; Tissue engineering; Cell encapsulation; Cell; Nanotechnology; Chemistry; Polymer chemistry; Medicine","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":[0.0002158555,0.0007065504,0.0004322742,0.001262005,0.0001897348,0.0005120014,0.0004736177,0.0005004802,0.002814689],"category_scores_gemma":[0.00016433,0.0001754051,0.0002571876,0.001262664,0.0002821301,0.0008689832,0.0003639648,0.0008944993,0.002521168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133285,"about_ca_system_score_gemma":0.0003927958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004747004,"about_ca_topic_score_gemma":0.0009825564,"domain_scores_codex":[0.9999342,0.000008022946,0.000005618691,0.00001313328,0.00002803353,0.00001101367],"domain_scores_gemma":[0.999947,0.00001855666,0.00001152235,0.0000027338,0.00001284386,0.000007355668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005523213,0.00009794493,0.0001119824,0.01465563,0.00005845855,0.000210843,0.00006296227,0.000720181,0.05235002,0.01194925,0.03471759,0.88501],"study_design_scores_gemma":[0.000006427346,0.00007688232,0.0003764133,0.0009769746,0.00002683619,0.0006280421,0.00002160937,0.0001396732,0.00965641,0.001371145,0.9867068,0.00001273874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007461503,0.9908639,0.001201901,0.0002283297,0.0005849632,0.00001221614,0.00004433623,0.00003493877,0.0062833],"genre_scores_gemma":[0.003979913,0.9892189,0.001198265,0.0002623303,0.0001959236,0.00002003762,0.00007342582,0.000006929341,0.00504425],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002814689,"threshold_uncertainty_score":0.009416044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661142529553376,"score_gpt":0.2804852476177486,"score_spread":0.2538738223222148,"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."}}