{"id":"W1981520342","doi":"10.1016/j.molmed.2014.01.006","title":"Gene expression profiling in sepsis: timing, tissue, and translational considerations","year":2014,"lang":"en","type":"review","venue":"Trends in Molecular Medicine","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":128,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute","keywords":"Sepsis; Gene expression profiling; Gene; Gene expression; Biology; Computational biology; Microarray; Bioinformatics; Medicine; Immunology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005642932,0.0002923853,0.001082623,0.0009211934,0.00006046668,0.000006545255,0.00008913349,0.0004827525,0.0006926369],"category_scores_gemma":[0.000167184,0.0002319924,0.00007391976,0.0002736918,0.0001513418,0.00004785138,0.00003088906,0.0004899573,0.00003519073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002637441,"about_ca_system_score_gemma":0.00007379957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002052125,"about_ca_topic_score_gemma":0.00001346064,"domain_scores_codex":[0.9978684,0.0006772397,0.0008031065,0.0003548707,0.00006045047,0.0002359574],"domain_scores_gemma":[0.9992479,0.0002567901,0.0002056425,0.0002463216,0.00002538107,0.00001797501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002574167,0.00003900299,0.00001174607,0.001206152,0.00007520406,0.00007175904,0.0004541885,0.000008903655,0.05703884,0.0006675114,0.0004907277,0.9399102],"study_design_scores_gemma":[0.002857588,0.0001821969,0.0001101231,0.0152841,0.0004136429,0.0003497971,0.00003965725,0.00001477896,0.02788653,0.0003611156,0.9519821,0.0005183294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002718834,0.9975029,0.000500165,0.0002776888,0.0001942996,0.0002957896,0.000006140463,0.00002295822,0.000928187],"genre_scores_gemma":[0.002014744,0.9940862,0.001064249,0.00009074475,0.000053408,0.000137073,0.001835661,0.0000382475,0.0006796375],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9514914,"threshold_uncertainty_score":0.9460376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04213960675103004,"score_gpt":0.3535846945340445,"score_spread":0.3114450877830144,"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."}}