[{"id":"execution-completeness","title":"Execution completeness","question":"Is the declared valid denominator fully represented before robustness summaries are interpreted?","source":"execution ledger + specification declaration","output_kind":"prerequisite","key_fields":"declared count; valid count; successful count; failure/not-run/non-finite states","plot_id":"","api_anchor":"","can_answer":"Whether robustness diagnostics have a complete valid execution denominator.","cannot_answer":"Whether the observed endpoint is scientifically important or whether a missing branch would have changed the conclusion.","next_path":"/docs/execution-ledger/","reporting":"Report successful / valid first and preserve every unresolved valid branch state."},{"id":"specification-curve","title":"Specification curve","question":"How does the common endpoint vary across successfully represented valid specifications?","source":"specification_curve()","output_kind":"ordered branch table","key_fields":"spec_id; declared factor columns; estimate","plot_id":"specification-curve","api_anchor":"api-specification-curve","can_answer":"The observed ordering, range, sign changes, clusters, and branch metadata across represented estimates.","cannot_answer":"Which specification is scientifically best, whether an estimate is statistically significant, or whether missing branches can be ignored.","next_path":"/docs/plots/#plot-specification-curve","reporting":"Describe the full represented range and branch denominator before discussing factor patterns."},{"id":"effect-stability","title":"Effect stability summary","question":"How dispersed are the represented endpoint estimates and how often do they fall above, below, or exactly at the declared null?","source":"effect_stability()","output_kind":"descriptive summary","key_fields":"n_specifications; median_estimate; mean_estimate; min_estimate; max_estimate; q025; q975; positive_fraction; negative_fraction; exact_null_fraction; sign_stability","plot_id":"specification-curve","api_anchor":"api-effect-stability","can_answer":"Descriptive magnitude spread and sign concentration across the represented specification estimates.","cannot_answer":"Confidence intervals, posterior probabilities, statistical significance, or universal robustness.","next_path":"/docs/guides/reporting-robustness/","reporting":"Call q025/q975 empirical specification quantiles and sign fractions descriptive branch proportions."},{"id":"marginal-sensitivity","title":"Marginal factor sensitivity","question":"Which declared factor levels align most strongly with observed endpoint variation?","source":"marginal_sensitivity()","output_kind":"descriptive factor table","key_fields":"factor; n_levels; marginal_eta2; level_mean_range","plot_id":"factor-sensitivity","api_anchor":"","can_answer":"Which declared factor has the largest descriptive between-level alignment with endpoint variation.","cannot_answer":"Causal attribution, unique variance decomposition, or a set of shares that must sum to one.","next_path":"/docs/plots/#plot-factor-sensitivity","reporting":"Describe factors as associated with or aligned with variation, not as causing a percentage of uncertainty."},{"id":"pairwise-sensitivity","title":"Pairwise non-additive sensitivity","question":"Which declared factor pairs show the strongest descriptive departure from an additive specification pattern?","source":"pairwise_interaction_sensitivity()","output_kind":"descriptive pair table","key_fields":"factor_a; factor_b; n_cells; interaction_ratio; max_abs_interaction","plot_id":"","api_anchor":"","can_answer":"Which factor pair shows the largest descriptive non-additive pattern in the represented branch means.","cannot_answer":"An inferential interaction effect, p-value, causal interaction, or factorial-model substitute.","next_path":"/docs/guides/reporting-robustness/","reporting":"Use non-additive descriptive pattern language and report imbalance/incompleteness where relevant."},{"id":"controlled-sensitivity","title":"Controlled one-dimensional sensitivity","question":"How does one common endpoint change as one declared perturbation dimension is varied deliberately?","source":"spatial_sensitivity_curve() / sampling_sensitivity_curve() / missingness_sensitivity_curve()","output_kind":"controlled perturbation curve","key_fields":"perturbation value; endpoint/diagnostic value; preserved endpoint identity","plot_id":"missingness-sensitivity","api_anchor":"api-spatial-sensitivity-curve","can_answer":"The endpoint trajectory across the explicitly declared perturbation values.","cannot_answer":"What a different physical tracker would have measured, causal effects of missingness, or general robustness outside the perturbation range.","next_path":"/docs/plots/","reporting":"State the perturbation values and distinguish controlled representation sensitivity from specification-space choice."}]