{"id":"W4404124379","doi":"10.1016/j.jaci.2024.10.026","title":"Unravelling the noise in pharmacokinetic studies of epinephrine: Time to focus on cardiac output?","year":2024,"lang":"en","type":"editorial","venue":"Journal of Allergy and Clinical Immunology","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Jon Moulton Charity Trust; Food Standards Agency; Medical Research Council; National Institute for Health and Care Research; Imperial Oil Limited","keywords":"Epinephrine; Focus (optics); Pharmacokinetics; Noise (video); Medicine; Computer science; Anesthesia; Pharmacology; Artificial intelligence; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001401477,0.0002581297,0.001557287,0.0002714553,0.0000315028,0.00001004796,0.0002371916,0.0006029888,0.00003218654],"category_scores_gemma":[0.001440276,0.0001548054,0.0004319206,0.0001620558,0.0002453527,0.00001852237,0.0001099483,0.002558033,0.00004646346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007783363,"about_ca_system_score_gemma":0.0002832101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002265144,"about_ca_topic_score_gemma":0.000003378295,"domain_scores_codex":[0.997325,0.0002955362,0.00151213,0.0002564822,0.0003719096,0.0002389114],"domain_scores_gemma":[0.995369,0.00338922,0.0004858859,0.0002649455,0.0003928516,0.00009810768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01012221,0.0008204945,0.0001159399,0.0002416404,0.02723678,0.0006858624,0.0009063368,0.0001349498,0.001269036,0.00007867887,0.768043,0.190345],"study_design_scores_gemma":[0.002911151,0.005472762,0.001465583,0.002379391,0.0005905754,0.00002847647,0.0001476162,0.00004224002,0.0001455876,0.0004630308,0.9861715,0.0001821113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.1469652,0.06297991,0.00000948208,0.007357279,0.7818167,0.0003090625,0.00002087888,0.00001556356,0.0005258794],"genre_scores_gemma":[0.02676716,0.288427,0.0001697651,0.0002412563,0.6767699,0.00001239391,0.000009946356,0.00009294787,0.007509635],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2254471,"threshold_uncertainty_score":0.9997431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868081554381582,"score_gpt":0.377275944965098,"score_spread":0.3485951294212822,"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."}}