Evidence map›Paper›PMID 31070105›Full record

ArticleGM crops & food2019

Estimating the cost of regulating genome edited crops: expert judgment and overconfidence.

Rim Lassoued, Peter W B Phillips, Stuart J Smyth, Hayley Hesseln

Abstract read
In one paragraph

Article in GM crops & food, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  9. Overcoming Obstacles to Gene-Edited Solutions to Climate Challenges.Cold Spring Harbor perspectives in biology · 2024
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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

4 authors.

Rim Lassoueda Department of Agricultural and Resource Economics , University of Saskatchewan , Saskatoon , Canada.ORCID http://orcid.org/0000-0002-7435-9935
Peter W B Phillipsb The Johnson Shoyama Graduate School of Public Policy , University of Saskatchewan , Saskatoon , Canada.ORCID http://orcid.org/0000-0002-9152-5886
Stuart J Smytha Department of Agricultural and Resource Economics , University of Saskatchewan , Saskatoon , Canada.ORCID http://orcid.org/0000-0003-0837-8617
Hayley Hesselna Department of Agricultural and Resource Economics , University of Saskatchewan , Saskatoon , Canada.ORCID http://orcid.org/0000-0002-3155-612X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Experts are often called on to inform decision makers with subjective estimates of uncertain events. Their judgment serves as the basis for policy-related decision-making. This paper analyzes survey results used to collect experts' opinions of the likely cost to bring genome edited crops to market. We also examine the effect of expertise (scientific experts versus social scientists in plant biotechnology) and possible knowledge mis-calibration, both in terms of overconfidence (i.e., when subjective knowledge is inflated) and under-confidence (i.e., when subjective knowledge is deflated), on the estimation of cost involved in the development and commercial release of genome edited crops. We found that the expected costs of genome edited crops are case specific and depend on whether crops will likely be regulated as genetically modified or accepted as conventional varieties and not subject to any regulatory oversight by federal regulators. While cost evaluation of genome edited crops did not vary among scientific and social experts, it did vary among domains of knowledge. Hence, expert's performance can be described as task-specific in the context of this study.

Indexed as

BiotechnologyCrops, AgriculturalFood SupplyGene EditingGenome, Plantbiotechnologycostexpert panelexpert quantitative judgmentfood securitygenome editingover-confidenceregulationunder-confidence

Identifiers

PMID31070105
PMCPMC6592640

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.