{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002679868,0.001097387,0.002681752,0.001818463,0.0002736551,0.001998276,0.00159057,0.001884786,0.001703957],"category_scores_gemma":[0.00243107,0.0004413436,0.0006279001,0.002595032,0.001527047,0.001902238,0.001053137,0.003227527,0.001495051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009172274,"about_ca_system_score_gemma":0.001717813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009336811,"about_ca_topic_score_gemma":0.001997786,"domain_scores_codex":[0.9993622,0.0001240418,0.00008118289,0.0001518453,0.0002339826,0.00004682397],"domain_scores_gemma":[0.9978777,0.001164317,0.0002152689,0.00007126566,0.0005501359,0.0001212636],"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":[0.0001839878,0.00007470535,0.0006571595,0.009062118,0.0001133721,0.0001929754,0.00006192216,0.0004419928,0.004747993,0.004943522,0.02307224,0.956448],"study_design_scores_gemma":[0.00004717918,0.0002663438,0.004405755,0.006155668,0.0003366101,0.002494867,0.0002194434,0.0005793371,0.003790898,0.009585368,0.9720173,0.0001011311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009400279,0.9983346,0.0004361167,0.0005590197,0.0002655551,0.000002576943,0.00001925497,0.00000788637,0.0002810157],"genre_scores_gemma":[0.0007220139,0.997526,0.000556441,0.0004361547,0.0004200634,0.000006975102,0.00002959561,0.000002767752,0.0002999259],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002681752,"threshold_uncertainty_score":0.01417267,"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."}}