{"id":"W4407383891","doi":"10.1080/19490976.2025.2458189","title":"MIIST305 mitigates gastrointestinal acute radiation syndrome injury and ameliorates radiation-induced gut microbiome dysbiosis","year":2025,"lang":"en","type":"article","venue":"Gut Microbes","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"National Cancer Institute; National Institute of Allergy and Infectious Diseases; Columbia University","keywords":"Dysbiosis; Acute Radiation Syndrome; Microbiome; Biology; Gut flora; Gut microbiome; Bioinformatics; Cancer research; 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":[0.000190048,0.0006612303,0.0006244667,0.0005782874,0.000173998,0.0003023712,0.0003699853,0.0005288321,0.002153642],"category_scores_gemma":[0.0001302563,0.0002207242,0.0004567513,0.0001851269,0.0002540244,0.0003109821,0.0002609427,0.001380478,0.0003919007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948115,"about_ca_system_score_gemma":0.0004420608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006238014,"about_ca_topic_score_gemma":0.001963206,"domain_scores_codex":[0.9998624,0.00001851732,0.00001132109,0.00001945822,0.00004420053,0.00004397533],"domain_scores_gemma":[0.9998832,0.000006366407,0.00004121427,0.000008900317,0.00001299529,0.00004734549],"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":[0.002871263,0.0009346881,0.0009834906,0.0004529112,0.00007227212,0.00008760628,0.00004563091,0.0003765311,0.9790541,0.0001659032,0.0006390709,0.01431658],"study_design_scores_gemma":[0.000671684,0.04484685,0.0435016,0.0002190646,0.0004179325,0.0007878842,0.0003565972,0.003017708,0.8905547,0.0003387891,0.0152211,0.00006608201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98997,0.004914785,0.001881398,0.0002614424,0.0001173219,0.0000853103,0.0007054016,0.0003202563,0.00174395],"genre_scores_gemma":[0.9868903,0.004006641,0.002168739,0.0003173391,0.00003695372,0.000109245,0.001668353,0.00004000941,0.004762469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002153642,"threshold_uncertainty_score":0.007204652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003804323252496093,"score_gpt":0.2535030247016279,"score_spread":0.2496987014491318,"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."}}