{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314653,0.0004126783,0.0002269228,0.000338346,0.0001822997,0.0003704992,0.0002810032,0.000263446,0.001410036],"category_scores_gemma":[0.0001949616,0.0001988289,0.0003220304,0.0001659438,0.0003606736,0.0002754322,0.0003856027,0.0005892675,0.0004075482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179266,"about_ca_system_score_gemma":0.0002604026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004142816,"about_ca_topic_score_gemma":0.001019003,"domain_scores_codex":[0.9998044,0.00002925735,0.00001593847,0.0000486571,0.00006665591,0.00003503022],"domain_scores_gemma":[0.999778,0.00006919957,0.00005991957,0.00004082931,0.00002199838,0.00002995923],"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":[0.00001218807,0.000009502578,0.00007595834,0.00002605034,0.000002385566,0.00004066118,0.00001953139,0.0001261794,0.9973793,0.0002186944,0.0000407409,0.002048811],"study_design_scores_gemma":[0.000006068013,0.00008404768,0.0008696223,0.000006459477,0.00001159156,0.0002058205,0.00001054283,0.001159117,0.9934493,0.00004897112,0.004144437,0.00000416297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7594199,0.005920417,0.2215733,0.0002543972,0.0002397566,0.0003676154,0.000535655,0.0009153657,0.01077359],"genre_scores_gemma":[0.9383453,0.002775233,0.05487374,0.00009768819,0.00008257996,0.0001433456,0.0004408511,0.0001660796,0.003075246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001410036,"threshold_uncertainty_score":0.004717052,"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."}}