{"id":"W4410056245","doi":"10.1016/j.biotechadv.2025.108592","title":"Tracking inflammation status for improving patient prognosis: A review of current methods, unmet clinical needs and opportunities","year":2025,"lang":"en","type":"review","venue":"Biotechnology Advances","topic":"Thermal Regulation in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of General Medical Sciences; National Institutes of Health; New York University","keywords":"Tracking (education); Inflammation; Medicine; Current (fluid); Intensive care medicine; Internal medicine; Psychology; Engineering","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":[0.002690016,0.001134211,0.002835207,0.002532795,0.0003172997,0.001852077,0.001236489,0.00148563,0.002570192],"category_scores_gemma":[0.002782769,0.0004817939,0.001523954,0.002393091,0.0006993642,0.001621697,0.0008210408,0.002317139,0.001113131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006719611,"about_ca_system_score_gemma":0.00209735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403525,"about_ca_topic_score_gemma":0.002784251,"domain_scores_codex":[0.9993449,0.0001401616,0.0001278047,0.0001282378,0.0002135602,0.00004524293],"domain_scores_gemma":[0.9974866,0.001690285,0.0002350095,0.0000435113,0.0004613047,0.00008337745],"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":[0.0002276281,0.0001311967,0.0006760616,0.04008236,0.0003137219,0.000104333,0.00005655885,0.0003480726,0.001348982,0.002332015,0.01327848,0.9411005],"study_design_scores_gemma":[0.0001441447,0.0008385867,0.005101695,0.0328309,0.002008243,0.001967153,0.0002836817,0.0008383272,0.002073072,0.006269324,0.9474875,0.0001573824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005457133,0.9993995,0.0001103614,0.000180774,0.00009224062,0.000004024722,0.00001568429,0.000003264063,0.0001394633],"genre_scores_gemma":[0.000546857,0.9986608,0.0002818965,0.0002077554,0.0001776099,0.000008364052,0.00002426701,0.000001038087,0.0000914146],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002835207,"threshold_uncertainty_score":0.01422632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1579433228481092,"score_gpt":0.4996695268186276,"score_spread":0.3417262039705184,"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."}}