ArticleScience advances2022
Models with higher effective dimensions tend to produce more uncertain estimates.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Discovering interpretable low-dimensional dynamics using maximum entropy.Physical review. E · 2026Article
- Sensitivity Analysis: A Practical Guide to Teaching.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Compositional Acclimation Can Lessen Tropical Forest Change in Response to Increasing Lightning Frequency: Insights From Simulation Modeling.Global change biology · 2025Article
- Widely cited global irrigation statistics lack empirical support.PNAS nexus · 2025Article
- Review
- Global sensitivity analysis of integrated assessment models with multivariate outputs.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
- Conformal prediction for uncertainty quantification in dynamic biological systems.PLoS computational biology · 2025Article
- Navigating and attributing uncertainty in future tropical cyclone risk estimates.Science advances · 2025Article
- Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims.iScience · 2025Article
- Article
- A compartmental model for smoking dynamics in Italy: a pipeline for inference, validation, and forecasting under hypothetical scenarios.BMC medical research methodology · 2024Article
- Adaptive foraging of pollinators fosters gradual tipping under resource competition and rapid environmental change.PLoS computational biology · 2024Article
- Pharmacokinetic-pharmacodynamic modeling of maintenance therapy for childhood acute lymphoblastic leukemia.Scientific reports · 2023Article
- Electromagnetic levitation containerless processing of metallic materials in microgravity: thermophysical properties.NPJ microgravity · 2023Review
- Models with higher effective dimensions tend to produce more uncertain estimates.Science advances · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical models are getting increasingly detailed to better predict phenomena or gain more accurate insights into the dynamics of a system of interest, even when there are no validation or training data available. Here, we show through ANOVA and statistical theory that this practice promotes fuzzier estimates because it generally increases the model's effective dimensions, i.e., the number of influential parameters and the weight of high-order interactions. By tracking the evolution of the effective dimensions and the output uncertainty at each model upgrade stage, modelers can better ponder whether the addition of detail truly matches the model's purpose and the quality of the data fed into it.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.