{"id":"W2419675532","doi":"10.1371/journal.pone.0156055","title":"Gene Expression Deconvolution for Uncovering Molecular Signatures in Response to Therapy in Juvenile Idiopathic Arthritis","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Saskatchewan; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of British Columbia; IWK Health Centre; University of Alberta; Arthritis Society; University of Ottawa; McGill University; McGill University Health Centre; Université de Sherbrooke; University of Toronto; Canadian Arthritis Network; BC Children's Hospital; University of Manitoba; Hospital for Sick Children; University of Saskatchewan","keywords":"Arthritis; Gene expression; In silico; Computational biology; Gene; Bonferroni correction; Biology; Gene expression profiling; Bioinformatics; Immunology; Medicine; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001304329,0.00034717,0.0006396457,0.0009336495,0.0001751423,0.0004691124,0.0002265095,0.0003153773,0.0005201413],"category_scores_gemma":[0.001915187,0.0002124607,0.0006750489,0.0006738128,0.0004075768,0.0002146078,0.0003289146,0.0004538739,0.00015958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004616292,"about_ca_system_score_gemma":0.0007409888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414303,"about_ca_topic_score_gemma":0.001536871,"domain_scores_codex":[0.9996148,0.0001611973,0.0000157601,0.00008568033,0.00007868499,0.00004384804],"domain_scores_gemma":[0.9993599,0.0004036256,0.0001113161,0.00005426232,0.00004123955,0.00002977217],"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":[0.003626444,0.0004317066,0.0986004,0.0003036717,0.0004309863,0.0002252877,0.0002800552,0.1299621,0.5897605,0.001838595,0.0007578974,0.1737823],"study_design_scores_gemma":[0.00005999162,0.0004767009,0.1244352,0.00001175884,0.0001289812,0.0002102564,0.0001054171,0.7828035,0.08876893,0.001936772,0.001005387,0.000057209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8609309,0.0005173211,0.1359608,0.0001603841,0.00001535401,0.00005995998,0.0007124622,0.0008989439,0.0007438143],"genre_scores_gemma":[0.9303501,0.0001455743,0.06826013,0.00003814938,0.00001028403,0.0000584992,0.0007318523,0.00004882229,0.0003565954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001414303,"threshold_uncertainty_score":0.006898046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846182144303458,"score_gpt":0.2738763466218178,"score_spread":0.2454145251787832,"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."}}