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Evaluating Biosignatures for Life Detection
Conceptual frameworks are developed for evaluating the ability of different biosignatures to provide evidence for the presence of life in planned missions or observational studies. The focus is on intrinsic characteristics of biosignatures in space environments rather than on their detection, which...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591378/ https://www.ncbi.nlm.nih.gov/pubmed/32808814 http://dx.doi.org/10.1089/ast.2019.2151 |
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author | Pohorille, Andrew Sokolowska, Joanna |
author_facet | Pohorille, Andrew Sokolowska, Joanna |
author_sort | Pohorille, Andrew |
collection | PubMed |
description | Conceptual frameworks are developed for evaluating the ability of different biosignatures to provide evidence for the presence of life in planned missions or observational studies. The focus is on intrinsic characteristics of biosignatures in space environments rather than on their detection, which depends on technology. Evaluation procedures are drawn from extensive studies in decision theory on related problems in business, engineering, medical fields, and the social arena. Three approaches are particularly useful. Two of them, Signal Detection Theory and Bayesian hypothesis testing, are based on probabilities. The third approach is based on utility theory. In all the frameworks, knowledge about a subject matter has to be translated into probabilities and/or utilities in a multistep process called elicitation. We present the first attempt to cover all steps, from acquiring knowledge about biosignatures to assigning probabilities or utilities to global quantities, such as false positives and false negatives. Since elicitation involves human judgment that is always prone to perceptual and cognitive biases, the relevant biases are discussed and illustrated in examples. We further discuss at which stage of elicitation human judgment should be involved to ensure the most reliable outcomes. An example, how evaluating biosignatures might be implemented, is given in the Supplementary Information. |
format | Online Article Text |
id | pubmed-7591378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-75913782020-10-28 Evaluating Biosignatures for Life Detection Pohorille, Andrew Sokolowska, Joanna Astrobiology Research Articles Conceptual frameworks are developed for evaluating the ability of different biosignatures to provide evidence for the presence of life in planned missions or observational studies. The focus is on intrinsic characteristics of biosignatures in space environments rather than on their detection, which depends on technology. Evaluation procedures are drawn from extensive studies in decision theory on related problems in business, engineering, medical fields, and the social arena. Three approaches are particularly useful. Two of them, Signal Detection Theory and Bayesian hypothesis testing, are based on probabilities. The third approach is based on utility theory. In all the frameworks, knowledge about a subject matter has to be translated into probabilities and/or utilities in a multistep process called elicitation. We present the first attempt to cover all steps, from acquiring knowledge about biosignatures to assigning probabilities or utilities to global quantities, such as false positives and false negatives. Since elicitation involves human judgment that is always prone to perceptual and cognitive biases, the relevant biases are discussed and illustrated in examples. We further discuss at which stage of elicitation human judgment should be involved to ensure the most reliable outcomes. An example, how evaluating biosignatures might be implemented, is given in the Supplementary Information. Mary Ann Liebert, Inc., publishers 2020-10-01 2020-10-09 /pmc/articles/PMC7591378/ /pubmed/32808814 http://dx.doi.org/10.1089/ast.2019.2151 Text en © Andrew Pohorille and Joanna Sokolowska, 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Research Articles Pohorille, Andrew Sokolowska, Joanna Evaluating Biosignatures for Life Detection |
title | Evaluating Biosignatures for Life Detection |
title_full | Evaluating Biosignatures for Life Detection |
title_fullStr | Evaluating Biosignatures for Life Detection |
title_full_unstemmed | Evaluating Biosignatures for Life Detection |
title_short | Evaluating Biosignatures for Life Detection |
title_sort | evaluating biosignatures for life detection |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591378/ https://www.ncbi.nlm.nih.gov/pubmed/32808814 http://dx.doi.org/10.1089/ast.2019.2151 |
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