{"id":"W2800309602","doi":"10.1016/j.celrep.2018.03.123","title":"Self-Condensation Culture Enables Vascularization of Tissue Fragments for Efficient Therapeutic Transplantation","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Precursory Research for Embryonic Science and Technology; National Institute of Diabetes and Digestive and Kidney Diseases; Japan Science and Technology Agency; Japan IDDM network; Ministry of Education, Culture, Sports, Science and Technology; Japan Agency for Medical Research and Development; Presbyterian Historical Society; New York Stem Cell Foundation","keywords":"Transplantation; Condensation; Cell biology; Chemistry; Computational biology; Biology; Medicine; Internal medicine; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001606716,0.00007796141,0.0001475966,0.00005521158,0.00005326194,0.000006983245,0.00001409991,0.00007761086,0.00008479893],"category_scores_gemma":[0.00003489064,0.00006263505,0.0000526836,0.0000990254,0.00002593289,0.00002882427,0.000002297435,0.00002653604,0.000006220017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002772149,"about_ca_system_score_gemma":0.00005167366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000492655,"about_ca_topic_score_gemma":4.364427e-7,"domain_scores_codex":[0.9992793,0.0000154466,0.0002585955,0.0001653093,0.0001830665,0.00009831638],"domain_scores_gemma":[0.9993697,0.00002331812,0.0001657849,0.000159546,0.0002382215,0.00004338001],"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":[0.0001609502,0.0004907923,0.01059119,0.001407197,0.0001475793,0.00002290515,0.003778492,0.0001277883,0.9804639,0.0002006392,0.0004861585,0.002122387],"study_design_scores_gemma":[0.0009806765,0.0003807456,0.005078871,0.00006319956,0.0004136961,0.00004465604,0.0001074486,0.001851482,0.9823403,0.0002646781,0.008395125,0.00007915778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476959,0.0003308837,0.04247732,0.00003019796,0.0003716516,0.0008116175,0.000003130928,0.00006482976,0.008214498],"genre_scores_gemma":[0.995058,0.00003404108,0.003043698,0.0001137112,0.0001066401,0.0000284928,0.000160649,0.00001135542,0.001443439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0473621,"threshold_uncertainty_score":0.2554183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035602124407276,"score_gpt":0.2512467887227494,"score_spread":0.2408907674786767,"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."}}