Norman et al. 2019 single-gene perturbations, K562, top 2,000 HVGs (PertEval-scFM Table 1)

Uncertainty: type: author_reported_propagated_standard_error; reported spread: 0.039; note: The source describes this quantity as a standard error (main-text Figure 2 caption: 'Average AUSPC (down-arrow) across sparsification probabilities for each model with standard error bars') and separately gives its own propagation formula (Appendix F.2, Eqs. F3-F5): AUSPC's uncertainty is derived from each split's own MSE uncertainty via the trapezoidal integral's partial derivatives (sigma^2 = sum_i (d/2)^2 * sigma_phi_i^2, where d=0.1 is the fixed sparsification step size). These two author statements describe the same quantity and are not in conflict: a propagated quantity can correctly be reported as a standard error. This is recorded as the author's own reported, propagated uncertainty; the F3-F5 derivation is the authors' own formula and its mathematical correctness has not been independently validated here. It must not be read as an independently resampled model-seed standard deviation or a confidence interval. The underlying per-split uncertainty is attributed by the source to triplicate experiments per model (Appendix I, Figure I1 caption: 'Experiments were carried out in triplicate for each model'), not to the main-text Figure 2 region. Figure I1's own caption separately states '8 train-test splits of increasing difficulty' for this same Norman single-gene evaluation, while Table 1 prints seven S-columns (S0.1-S0.7) and Appendix F.2 describes the sparsification probabilities as spanning 0.1 to 0.7. This 7-vs-8 discrepancy between the Figure I1 caption and the Table 1 / F.2 grid is preserved exactly as printed, not resolved; it must not be read as establishing an eighth Table 1 column or a confirmed n_runs=7, and no significance claim is made from any overlapping error bars.

Coverage: Not reported scored / Not reported eligible

Uncertainty: type: author_reported_propagated_standard_error; reported spread: 0.317; note: The source describes this quantity as a standard error (main-text Figure 2 caption: 'Average AUSPC (down-arrow) across sparsification probabilities for each model with standard error bars') and separately gives its own propagation formula (Appendix F.2, Eqs. F3-F5): AUSPC's uncertainty is derived from each split's own MSE uncertainty via the trapezoidal integral's partial derivatives (sigma^2 = sum_i (d/2)^2 * sigma_phi_i^2, where d=0.1 is the fixed sparsification step size). These two author statements describe the same quantity and are not in conflict: a propagated quantity can correctly be reported as a standard error. This is recorded as the author's own reported, propagated uncertainty; the F3-F5 derivation is the authors' own formula and its mathematical correctness has not been independently validated here. It must not be read as an independently resampled model-seed standard deviation or a confidence interval. The underlying per-split uncertainty is attributed by the source to triplicate experiments per model (Appendix I, Figure I1 caption: 'Experiments were carried out in triplicate for each model'), not to the main-text Figure 2 region. Figure I1's own caption separately states '8 train-test splits of increasing difficulty' for this same Norman single-gene evaluation, while Table 1 prints seven S-columns (S0.1-S0.7) and Appendix F.2 describes the sparsification probabilities as spanning 0.1 to 0.7. This 7-vs-8 discrepancy between the Figure I1 caption and the Table 1 / F.2 grid is preserved exactly as printed, not resolved; it must not be read as establishing an eighth Table 1 column or a confirmed n_runs=7, and no significance claim is made from any overlapping error bars.

Coverage: Not reported scored / Not reported eligible

Uncertainty: type: author_reported_propagated_standard_error; reported spread: 0.299; note: The source describes this quantity as a standard error (main-text Figure 2 caption: 'Average AUSPC (down-arrow) across sparsification probabilities for each model with standard error bars') and separately gives its own propagation formula (Appendix F.2, Eqs. F3-F5): AUSPC's uncertainty is derived from each split's own MSE uncertainty via the trapezoidal integral's partial derivatives (sigma^2 = sum_i (d/2)^2 * sigma_phi_i^2, where d=0.1 is the fixed sparsification step size). These two author statements describe the same quantity and are not in conflict: a propagated quantity can correctly be reported as a standard error. This is recorded as the author's own reported, propagated uncertainty; the F3-F5 derivation is the authors' own formula and its mathematical correctness has not been independently validated here. It must not be read as an independently resampled model-seed standard deviation or a confidence interval. The underlying per-split uncertainty is attributed by the source to triplicate experiments per model (Appendix I, Figure I1 caption: 'Experiments were carried out in triplicate for each model'), not to the main-text Figure 2 region. Figure I1's own caption separately states '8 train-test splits of increasing difficulty' for this same Norman single-gene evaluation, while Table 1 prints seven S-columns (S0.1-S0.7) and Appendix F.2 describes the sparsification probabilities as spanning 0.1 to 0.7. This 7-vs-8 discrepancy between the Figure I1 caption and the Table 1 / F.2 grid is preserved exactly as printed, not resolved; it must not be read as establishing an eighth Table 1 column or a confirmed n_runs=7, and no significance claim is made from any overlapping error bars.

Coverage: Not reported scored / Not reported eligible