{"id":"W4323035002","doi":"10.1101/2023.02.28.530386","title":"Liver-specific Inflammatory Signatures Predict Clinically Significant Liver Damage","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Macrophage Migration Inhibitory Factor","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Liver Centre; Toronto General Hospital; University of Toronto; University Health Network","funders":"Genentech; National Institute of Diabetes and Digestive and Kidney Diseases; Gilead Research Scholars; Gilead Sciences","keywords":"Inflammation; Liver injury; Cytokine; Flow cytometry; Liver disease; Biomarker; Transcriptome; Medicine; Peripheral blood mononuclear cell; Immunology; Downregulation and upregulation; Immune system; Internal medicine; Biology; In vitro; Gene expression; Gene","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.001522658,0.001180292,0.001199885,0.0006195452,0.0004637245,0.000275765,0.001360087,0.002814719,0.001538926],"category_scores_gemma":[0.0006727069,0.00123463,0.0005569462,0.00048541,0.0007725198,0.000230413,0.001404754,0.003485687,0.005971508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553825,"about_ca_system_score_gemma":0.0009638349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005887659,"about_ca_topic_score_gemma":0.000006828201,"domain_scores_codex":[0.9935625,0.00100919,0.00176551,0.002184869,0.0003107066,0.001167192],"domain_scores_gemma":[0.9944423,0.0007000743,0.001177378,0.002613356,0.0008210772,0.0002458565],"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":[0.0002166579,0.0002619071,0.005679658,0.0004575534,0.0005688805,0.0007357402,0.0000644645,0.00009373321,0.947102,0.0005298131,0.04428485,0.000004806046],"study_design_scores_gemma":[0.002210392,0.0003564024,0.2866936,0.0009503164,0.000365793,1.032396e-7,0.000022111,0.0001665935,0.5593048,0.000004647953,0.1472496,0.002675696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696431,0.009019796,0.001373482,0.0001678089,0.011546,0.0030352,0.002198366,0.002989121,0.0000271039],"genre_scores_gemma":[0.9943047,0.002096971,0.000894016,0.0002478329,0.001091892,0.000658793,0.00001334429,0.000351819,0.0003405965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3877972,"threshold_uncertainty_score":0.9993738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146180383984543,"score_gpt":0.2282436088996754,"score_spread":0.20678180505983,"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."}}