{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003346349,0.0001061145,0.0002006195,0.00004935967,0.0001876364,0.00004175505,0.00006407905,0.00008264078,0.0005559957],"category_scores_gemma":[0.0001707696,0.00006802791,0.00007517813,0.000128445,0.00004173404,0.0001167338,0.0000299106,0.0001638356,0.0004647829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006529867,"about_ca_system_score_gemma":0.00003989271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003141651,"about_ca_topic_score_gemma":0.000006413215,"domain_scores_codex":[0.9990127,0.00006466701,0.0002746534,0.0001839813,0.0002701091,0.0001938611],"domain_scores_gemma":[0.9991394,0.0002200141,0.0001039284,0.0003720723,0.00007808748,0.00008644235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002640489,0.000206432,0.6986024,0.0002267224,0.0001937525,0.00001383664,0.001411187,0.00001649026,0.2653326,0.01356523,0.01582772,0.004339498],"study_design_scores_gemma":[0.003366498,0.0004749231,0.8628057,0.0002296794,0.0001150927,0.00001071793,0.000274307,0.001968732,0.03196842,0.0004715807,0.09805521,0.0002591922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8102965,0.0002097639,0.0001283302,0.0007160396,0.0004557469,0.0002674347,0.000001700535,0.00008095791,0.1878436],"genre_scores_gemma":[0.9823734,0.00002272788,0.00007219081,0.0007905464,0.0003488361,0.00001087434,0.00002835335,0.00001395847,0.01633913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2333642,"threshold_uncertainty_score":0.6087763,"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."}}