{"id":"W2966639282","doi":"10.1172/jci.insight.129299","title":"The long noncoding RNA MALAT1 predicts human islet isolation quality","year":2019,"lang":"en","type":"article","venue":"JCI Insight","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Juvenile Diabetes Research Foundation Australia; Chinese University of Hong Kong; Novo Nordisk; Juvenile Diabetes Research Foundation United States of America","keywords":"Islet; Transcriptome; Biomarker; Transplantation; MALAT1; Pancreas; Biology; Diabetes mellitus; Computational biology; Medicine; Internal medicine; RNA; Oncology; Endocrinology; Long non-coding RNA; Gene; Gene expression; Genetics","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":[0.0004992214,0.0001909469,0.0002305507,0.0003803839,0.0002040231,0.0007215363,0.0001254203,0.0002337622,0.001801432],"category_scores_gemma":[0.001234243,0.0001034539,0.0002918611,0.0004005586,0.0002094211,0.0002286898,0.0004280866,0.0004005683,0.0005798379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223793,"about_ca_system_score_gemma":0.0001117963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005497304,"about_ca_topic_score_gemma":0.0009952106,"domain_scores_codex":[0.9998017,0.00003028813,0.00001938344,0.0000752515,0.00004474076,0.00002870139],"domain_scores_gemma":[0.9993913,0.000239698,0.000138967,0.0000729836,0.0001013261,0.00005571629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001309792,0.00007673827,0.6180459,0.000148965,0.0002530278,0.0002761176,0.0003036112,0.002276457,0.3429013,0.0001720956,0.001072783,0.03316322],"study_design_scores_gemma":[0.00001694632,0.000285537,0.9122517,0.00003709208,0.0001648374,0.0007963233,0.000274439,0.006954397,0.07629213,0.0004070888,0.002490959,0.00002854592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937351,0.0006789294,0.003505137,0.00005798439,0.00001565608,0.00001141127,0.001351295,0.00005290027,0.0005914501],"genre_scores_gemma":[0.993319,0.0003396501,0.002683176,0.00009378741,0.00001279903,0.00001941846,0.002970722,0.00003978472,0.0005217803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001801432,"threshold_uncertainty_score":0.006026387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254869001967505,"score_gpt":0.3037541265014661,"score_spread":0.2712054364817911,"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."}}