{"id":"W2992936829","doi":"10.1016/j.actbio.2019.11.047","title":"Glycaemic control in diabetic rats treated with islet transplantation using plasma combined with hydroxypropylmethyl cellulose hydrogel","year":2019,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conseil Régional d'Alsace; Québec Consortium for Drug Discovery","keywords":"Islet; Materials science; Cellulose; Transplantation; Plasma glucose; Diabetes mellitus; Biomedical engineering; Internal medicine; Medicine; Endocrinology; Chemistry; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001344915,0.0002891326,0.0005804406,0.0002205206,0.00003570502,0.00004351965,0.00006939601,0.0001366653,0.0003332945],"category_scores_gemma":[0.00001055548,0.0001981371,0.00004231768,0.0003380535,0.00008267111,0.0001507882,0.000006320705,0.00006978905,0.00007654328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009468866,"about_ca_system_score_gemma":0.00008817371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004204079,"about_ca_topic_score_gemma":0.00001373931,"domain_scores_codex":[0.9986138,0.00008309756,0.0003239397,0.0003677883,0.0002455388,0.0003658717],"domain_scores_gemma":[0.9993225,0.0000619771,0.0001365531,0.000293804,0.00005343468,0.000131753],"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":[0.008370492,0.0001719379,0.07966486,0.0002315116,0.0001272319,0.0001029345,0.0001647885,0.0000109882,0.9110725,0.00001205351,0.00004871215,0.00002201062],"study_design_scores_gemma":[0.02416205,0.00232604,0.01313142,0.0005389031,0.0004810433,0.0001073287,0.00005805934,0.009032363,0.949728,0.00001108564,0.00009019967,0.0003335308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980544,0.0000167853,0.00002973569,0.0001261642,0.0002205681,0.001010353,0.0000569117,0.0001177978,0.000367241],"genre_scores_gemma":[0.9987022,0.000006550373,0.0002961596,0.000208413,0.00004616317,0.00003791263,0.000326889,0.00004946308,0.0003262477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06653344,"threshold_uncertainty_score":0.8079796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008441923177211737,"score_gpt":0.2153926949595037,"score_spread":0.206950771782292,"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."}}