{"id":"W2413471360","doi":"10.1038/ctg.2015.42","title":"Capturing Islet Stem Cells for a Bio-Artificial Pancreas","year":2015,"lang":"en","type":"article","venue":"Clinical and Translational Gastroenterology","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Islet; Cell encapsulation; Medicine; Transplantation; Stem cell; Immune system; Progenitor cell; Embryonic stem cell; Pancreatic islets; Pancreas; Cell therapy; Cell biology; Mesenchymal stem cell; Immunology; Pathology; Internal medicine; Insulin; Biology; Tissue engineering; Biomedical engineering; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003746777,0.00009763168,0.0003240084,0.00004366237,0.00003470931,0.000008131274,0.00002893312,0.00009824811,0.0000278977],"category_scores_gemma":[0.00004851152,0.00007949689,0.0001236334,0.00002835795,0.0001827208,0.00003354772,0.000008307466,0.0001124437,0.00001888618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003622759,"about_ca_system_score_gemma":0.00004738205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003972278,"about_ca_topic_score_gemma":0.000004496729,"domain_scores_codex":[0.9989944,0.00006377885,0.0004060341,0.0002368407,0.00009971634,0.0001992753],"domain_scores_gemma":[0.9992572,0.0002524522,0.00005125474,0.00008349522,0.00008903632,0.000266548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006983456,0.000418672,0.9783297,0.00006073933,0.0002063314,0.000009673867,0.000115922,0.00002039902,0.001047517,0.00223042,0.002641154,0.007935991],"study_design_scores_gemma":[0.05273714,0.01457907,0.8051486,0.0001768211,0.001610642,0.0003282234,0.0005237224,0.01199764,0.003421976,0.03373738,0.07519433,0.0005444768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882759,0.0001095889,0.004969896,0.005540693,0.0004384839,0.0002473848,0.00004094513,0.00003410598,0.0003430409],"genre_scores_gemma":[0.9946948,0.00001013446,0.002327964,0.002156423,0.0005216945,0.00002412626,0.00004037654,0.000009436807,0.000215104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1731811,"threshold_uncertainty_score":0.3241789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042511157493646,"score_gpt":0.3327240996651503,"score_spread":0.2284729839157857,"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."}}