The experimental set-up we used. by Hillary Jean-Joseph (9676166)

SHAP waterfall plot. by Wentao Yang (205781)

“…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”

SHAP decision plot. by Wentao Yang (205781)

“…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”

SHAP dependence plots. by Wentao Yang (205781)

“…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”

SHAP dependence plots with interaction coloring. by Wentao Yang (205781)

“…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”

Screening Sheet: A sheet that contains the full screening process that we used to include or exclude any study. by Mohamed R. Abdelraouf (21501468)

This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Mitigation (decreasing) scenario. by Fabio Correddu (12501799)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…Its contents underwent thorough analysis using content analysis techniques. The quantitative results from Phase 1 demonstrated a decreasing trend in all primary outcomes. …”

Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreas... by Eric Wang (30587)

SHAP values for the top 15 factors implicated in the model. by Erin L. Funnell (20189891)

Table 1_NSAID use may decrease serum Klotho levels.docx by Jingchao Yan (14079168)

“…</p>Conclusion<p>Contrary to previous speculations, the use of NSAIDs is associated with a decrease in serum Klotho levels.…”

The three schizophrenia patient clusters visualized using functional connectivity matrices. To create the visualizations, we take all the windows belonging to a cluster and average... by Eloy Geenjaar (21533195)

Shapley Additive Explanations (SHAP) summary plot. by Yue Lv (549862)

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Sample characteristics: Countries, cities and city innovation. by Saul Estrin (8629173)

We define the term “inhibitory reduction prowess” (IRP) as the percentage by which the product formation rate is reduced by from the initial point before inhibitor is introduced to... by J. Roadnight Sheehan (20141887)

SHAP Tree explainer for (a) Model 1: Presentation and (b) Model 6: Closures. by Nathan C. Hurley (10510304)

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)