ArticleResearch (Washington, D.C.)2022
Continuity Scaling: A Rigorous Framework for Detecting and Quantifying Causality Accurately.
Article in Research (Washington, D.C.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Detecting dynamical causality by intersection cardinal concavity.Fundamental research · 2025Article
- Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Identification of Critical States in Complex Biological Systems Using Cell-Specific Causal Network Entropy.Research (Washington, D.C.) · 2025Article
- Decomposing causality into its synergistic, unique, and redundant components.Nature communications · 2024Article
- Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction.Nature communications · 2024Article
- Challenges and Prospects of Personalized Healthcare Based on Surface-Enhanced Raman Spectroscopy.Research (Washington, D.C.) · 2024Review
- Uncovering the Pre-Deterioration State during Disease Progression Based on Sample-Specific Causality Network Entropy (SCNE).Research (Washington, D.C.) · 2024Article
- Quantifying the Resilience of Coal Energy Supply in China Toward Carbon Neutrality.Research (Washington, D.C.) · 2024Article
- Usefulness and limitations of convergent cross sorting and continuity scaling methods for their application in simulated and real-world time series.Royal Society open science · 2023Article
- Sustainable Seawater Desalination and Energy Management: Mechanisms, Strategies, and the Way Forward.Research (Washington, D.C.) · 2023Review
- Tipping Point Detection Using Reservoir Computing.Research (Washington, D.C.) · 2023Article
- AC-PCoA: Adjustment for confounding factors using principal coordinate analysis.PLoS computational biology · 2022Article
- Complex Dynamics of Noise-Perturbed Excitatory-Inhibitory Neural Networks With Intra-Correlative and Inter-Independent Connections.Frontiers in physiology · 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
Data-based detection and quantification of causation in complex, nonlinear dynamical systems is of paramount importance to science, engineering, and beyond. Inspired by the widely used methodology in recent years, the cross-map-based techniques, we develop a general framework to advance towards a comprehensive understanding of dynamical causal mechanisms, which is consistent with the natural interpretation of causality. In particular, instead of measuring the smoothness of the cross-map as conventionally implemented, we define causation through measuring the
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.