The Abiotic Background as a Central Component of a Sample Safety Assessment Protocol for Sample Return
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Bibliographic record
Abstract
Martian rock and regolith samples are being collected and cached by NASA's Perseverance rover, with the goal of returning them to Earth as soon as the mid-2030s. Upon return, samples would be housed in a sample receiving facility under biological containment to prevent exposing Earth's biosphere to any potential biohazards that might be present. Samples could be released from high containment for scientific investigations if they are found to be safe or are sterilized. The Sample Safety Assessment Protocol Tiger Team (SSAP-TT) was convened by the Sample Receiving Project between August 2023 and August 2024 and tasked with the development of a Sample Safety Assessment Protocol (SSAP). The result of this work is a proposed three-step protocol, supported by Bayesian statistical hypothesis testing, to assess the risk as to whether returned samples contain modern martian biology that could represent a biohazard. The proposed protocol outlines procedures to determine whether the samples could be safely released from high containment without sterilization or require a "hold and review" step. This article presents the central concept of the SSAP approach-comparing returned samples to the abiotic baseline. Organic molecules, which exist throughout the solar system, can have either biotic or abiotic origins. However, biotically produced organic molecules exhibit distinct complexity, distribution, and abundance characteristics that differentiate them from those formed through abiotic chemistry. The proposed protocol would examine the organic inventory of returned samples by using multiple techniques, including morphological and spectral assessments, to determine whether any signals exceed the abiotic baseline; that is, whether the organic molecular inventory could be explained solely by abiotic chemical synthesis. This approach provides a rigorous, yet feasible, safety assessment protocol by using modern techniques while minimizing sample consumption. We also identify key areas for future research and development, which include detection limits and further characterization of the martian abiotic background.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it