Evidence map›Paper›PMID 40492252›Full record

ArticleArXiv2025

Optimization and variability can coexist.

Marianne Bauer, William Bialek, Chase Goddard, Caroline M Holmes, Kamesh Krishnamurthy, Stephanie E Palmer, Rich Pang, David J Schwab, Lee Susman

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Marianne BauerJoseph Henry Laboratories of Physics, Princeton University.
William BialekJoseph Henry Laboratories of Physics, Princeton University.
Chase GoddardJoseph Henry Laboratories of Physics, Princeton University.
Caroline M HolmesJoseph Henry Laboratories of Physics, Princeton University.
Kamesh KrishnamurthyJoseph Henry Laboratories of Physics, Princeton University.
Stephanie E PalmerDepartment of Organismal Biology and Anatomy and Department of Physics, The University of Chicago.
Rich PangJoseph Henry Laboratories of Physics, Princeton University.
David J SchwabInitiative for the Theoretical Sciences, The Graduate Center, City University of New York.
Lee SusmanJoseph Henry Laboratories of Physics, Princeton University.

Funding

Dissecting Sensorimotor Pathways Underlying Social Interactions: Models, Circuits, and BehaviorR01NS104899 · NINDS · PRINCETON UNIVERSITY · PI BIALEK, WILLIAM, MURTHY, MALA · 2018 to 2022
$2.4M
Coarse-graining approaches to networks, learning, and behaviorR01EB026943 · NIBIB · UNIVERSITY OF CHICAGO · PI BIALEK, WILLIAM, PALMER, STEPHANIE E · 2018 to 2020
$1.1M
NIBIB NIH HHS R01 EB026943NINDS NIH HHS R01 NS104899
6 · The paper itself

Abstract

Many biological systems perform close to their physical limits, but promoting this optimality to a general principle seems to require implausibly fine tuning of parameters. Using examples from a wide range of systems, we show that this intuition is wrong. Near an optimum, functional performance depends on parameters in a "sloppy" way, with some combinations of parameters being only weakly constrained. Absent any other constraints, this

Identifiers

PMID40492252
PMCPMC12148085

What OpenQuestion holds

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Registered trials

None linked

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.