{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003149651,0.000400824,0.0002467214,0.0003928272,0.0001632443,0.0008467702,0.0003658757,0.0008607317,0.003677025],"category_scores_gemma":[0.000229377,0.0001620707,0.0003509462,0.0002470573,0.0003081926,0.0005728342,0.0004008664,0.000603882,0.00197159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919931,"about_ca_system_score_gemma":0.0002393512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002595242,"about_ca_topic_score_gemma":0.0003603022,"domain_scores_codex":[0.9997683,0.00002248173,0.000014056,0.00004717763,0.0001264569,0.00002151918],"domain_scores_gemma":[0.999904,0.00002219309,0.00002270347,0.00001147502,0.00002760987,0.00001197467],"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":[0.00003794502,0.00004217402,0.0004127919,0.0003239253,0.00001179967,0.0001457814,0.00006987715,0.0006811477,0.9502913,0.005401325,0.001672557,0.04090937],"study_design_scores_gemma":[0.0000159493,0.0002007134,0.0007586355,0.00007674049,0.00002723442,0.000364822,0.00005460696,0.003678475,0.9146386,0.001449659,0.07871191,0.00002264975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3600285,0.05496296,0.4945531,0.004218187,0.003147089,0.001190391,0.001846612,0.002651368,0.07740188],"genre_scores_gemma":[0.6690059,0.02233542,0.2493071,0.003155123,0.0003914399,0.0009760978,0.001716416,0.0002409318,0.05287156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003677025,"threshold_uncertainty_score":0.01230091,"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."}}