{"id":"W2284048622","doi":"10.1183/13993003.congress-2015.pa1792","title":"Blood mRNA and miRNA transcriptome to predict chronic lung allograft dysfunction","year":2015,"lang":"en","type":"article","venue":"","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Transcriptome; Medicine; Lung transplantation; KEGG; Gene expression profiling; microRNA; Microarray; Bronchiolitis obliterans; Transplantation; Lung; Fold change; Cohort; Bioinformatics; Gene; Gene expression; Immunology; Internal medicine; Biology; Genetics","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":[0.0002300794,0.0001520868,0.0003180323,0.0003952404,0.000104775,0.0004621192,0.0000699884,0.0002383167,0.0008241314],"category_scores_gemma":[0.0003654757,0.000105956,0.0001390558,0.0002899833,0.0001077082,0.0001477849,0.0001584879,0.0002355033,0.0002872233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009909138,"about_ca_system_score_gemma":0.00009152812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000214151,"about_ca_topic_score_gemma":0.000309608,"domain_scores_codex":[0.9998846,0.00002539427,0.000009912326,0.00003848355,0.00002209741,0.000019547],"domain_scores_gemma":[0.9998197,0.00005472496,0.00005832785,0.00001275471,0.00002811715,0.00002644517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001874154,0.00009636302,0.4465988,0.0000920485,0.00007370429,0.0002722295,0.0001615465,0.0005442058,0.5285025,0.00008355263,0.000317083,0.02138379],"study_design_scores_gemma":[0.00001219681,0.0005928643,0.9556026,0.00001644253,0.00009620095,0.0006893822,0.0002266745,0.004237586,0.03736209,0.0001549725,0.0009981936,0.0000107335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967549,0.0005998081,0.001590782,0.00003336699,0.000007981268,0.00001203276,0.0006063069,0.00002491523,0.0003697232],"genre_scores_gemma":[0.9964448,0.0003005497,0.001916767,0.00004897233,0.00001110212,0.00002691164,0.0007676124,0.000008352666,0.0004750168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008241314,"threshold_uncertainty_score":0.002756953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787926780472275,"score_gpt":0.3063048188689338,"score_spread":0.2784255510642111,"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."}}