AUC-ROC and AUPR values of different methods. by Shayan Majidifar (19541065)

“…<p>The x-axis displays P-to-N sampling ratios while the y-axis represents AUC-ROC and AUPR values for the left and right plots. …”

ROC-AUC for the apoB/apoA-1 ratio and apoB for different outcomes for men and women aged 25–69 years. by Göran Walldius (286838)

Subjects:

Receiver operating characteristic (ROC) curve and AUC value under the current (1970–2000) period (10 replicated runs). by Shahzad Ali (3700111)

ROC curves separated by mutations that decrease in volume from mutations that increase in volume. by Christopher Negron (1344885)

“…The tables on the right list the area under the curve (AUC) values along with corresponding 95% confidence interval (CI) for the AUCs.…”

STAT6-driven immunity decreases <i>N</i>. <i>brasiliensis</i> reproductive output and survival within host. by Annabel A. Ferguson (17616286)

Neutralization AUC values of WT and SP-swapped viruses grown in 293T cells and PBMCs. by Chitra Upadhyay (817121)

“…<p>AUCs values that decreased or increased by >30% and had p<0.05 relative to WT for the same MAbs or CD4IgG are shown in orange or green, respectively. …”

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

ROC curves and the corresponding AUC values. by Salih Furkan Atici (12988243)

Predictive value of RVT1 for the decreased RV ejection fraction (RVEF) and poor outcome in pulmonary arterial hypertension (PAH). by Ryotaro Asano (11767131)

“…Abbreviations: AUC, area under the curve; CMR, cardiovascular magnetic resonance; RHC, right heart catheterization; RHF, right heart failure; RVEF, right ventricular ejection fraction; RVT1, native T1 values of the right ventricular free wall.…”

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”

Feature engineering. by Youli Jiang (15249070)

The results of a Kruskal Wallis test comparing the various adherence metrics, during increasing and decreasing periods, by pandemic phase are shown as the title of each graph: The <i>H</i> and <i>p</i> values are provided along with the degrees of freedom shown for each <i>H</i> value in brackets. by Barry Smyth (10826056)

Subjects:

Performance and AUC values for individual antigens in the Luminex-bTB immunoassay. by Charlotte Moens (17118225)

Scatterplot of the mean cross-validated AUC (AUC-cv) and the maximum dispersal distance for the six amphibian species tested. by Damian O. Ortiz-Rodríguez (17343308)

ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”

Increased variability of simulated correlation matrices with increased <i>q/n</i> value. by Victor P. Andreev (402750)

ROC test curves and AUC values for each variable on the distribution of permafrost in TG. by Ying Guo (53523)

Antibody-dependent cellular cytotoxicity (ADCC) activity reported as AUC. by LaTonya D. Williams (3140490)