{"id":"W4415879792","doi":"10.1097/js9.0000000000003742","title":"Integrated multi-omics and causal inference framework with experimental validation reveals key drivers of air pollution–induced acute kidney injury","year":2025,"lang":"en","type":"article","venue":"International Journal of Surgery","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Causal inference; Key (lock); Acute kidney injury; Inference; Kidney disease; Foundation (evidence)","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":[0.0002271503,0.000126803,0.0003397291,0.0004602763,0.00002874202,0.00002341197,0.0001012229,0.00008893577,0.00007326425],"category_scores_gemma":[0.0009201863,0.0001012038,0.0001196072,0.0001896726,0.00009722676,0.0002468746,0.00004256796,0.0001980976,0.000001210068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188685,"about_ca_system_score_gemma":0.001287637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002544036,"about_ca_topic_score_gemma":3.499906e-7,"domain_scores_codex":[0.9988286,0.00004415425,0.0005100685,0.0001237701,0.0003766409,0.0001167779],"domain_scores_gemma":[0.9984674,0.0001984846,0.000380057,0.00009809858,0.0006571893,0.000198726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003546696,0.0009740955,0.765312,0.00009788907,0.002980512,0.0002189897,0.0007248136,0.0000327769,0.2101445,0.001199104,0.0114845,0.003284091],"study_design_scores_gemma":[0.005339153,0.0004920452,0.358637,0.006809292,0.0006958385,0.0001816203,0.00100225,0.0003565648,0.6238308,0.0008601272,0.001440232,0.0003550883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950849,0.0001504032,0.00165291,0.002158028,0.0006610421,0.00008813477,0.0001133286,0.00001102895,0.00008025947],"genre_scores_gemma":[0.9964752,0.0001718268,0.001740084,0.001366882,0.0001045688,0.00000288665,0.00006387136,0.000009115677,0.00006563214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4136863,"threshold_uncertainty_score":0.412697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471565905903488,"score_gpt":0.3318413870049539,"score_spread":0.307125727945919,"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."}}