{"id":"W1972850852","doi":"10.1046/j.1492-7535.2003.01269.x","title":"Gene Expression Analysis in Inflamed and Non-inflamed Hemodialysis (HD) Patients Using a cDNA Microarray","year":2003,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gene expression; Gene; Cytokine; Receptor; Complementary DNA; Microarray; Inflammation; Microarray analysis techniques; Medicine; Immunology; Molecular biology; Messenger RNA; Biology; Internal medicine; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005297831,0.0003684076,0.0007454152,0.001311459,0.0002201685,0.00006638534,0.0003391832,0.0003744231,0.0006086181],"category_scores_gemma":[0.0004680222,0.0003570335,0.000354459,0.001030964,0.0001792166,0.0002822834,0.0001406726,0.0003169972,0.00009482423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002261002,"about_ca_system_score_gemma":0.0001153291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002295655,"about_ca_topic_score_gemma":0.00026526,"domain_scores_codex":[0.9973813,0.0003678915,0.0008005502,0.0007545451,0.0001944265,0.0005013128],"domain_scores_gemma":[0.9986666,0.0001668827,0.0003583339,0.0004418681,0.0002983463,0.00006800992],"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":[0.0001571293,0.0003161898,0.4057174,0.00001059781,0.001498441,0.000009863968,0.001298561,0.0005993283,0.5889239,0.00004255513,0.0002321106,0.001193963],"study_design_scores_gemma":[0.007189282,0.00006927592,0.1243986,0.00006330258,0.001327725,0.00001731639,0.0003321051,0.0012005,0.855278,0.0002573041,0.008970472,0.0008960371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939196,0.0001680523,0.002679906,0.00003153668,0.0006653373,0.0002269504,0.0004683083,0.00003690576,0.001803379],"genre_scores_gemma":[0.9955925,0.0001086362,0.002534243,0.0001595961,0.00007999167,0.00003858505,0.0009760885,0.00002755682,0.0004827915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2813188,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082081466608535,"score_gpt":0.2330213207540602,"score_spread":0.2222005060879749,"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."}}