Is Searching for Martian Life a Priority for the Mars Community?
Bibliographic record
Abstract
W e understand and respect the points raised by Rummel and Conley (2017) in response to our initial Forum Article (Faire ´n et al., 2017), which we acknowledge are informed and literate.Unfortunately, they are also unconvincing.Their comments clearly illustrate why we are not searching for life on Mars today and why we haven't done so during the last decades.Hereafter, we respond point by point to their remarks.We examine with special attention Rummel and Conley's (2017) statement that ''the Mars community is not convinced that a mission to attempt detection of extant martian life is a high priority,'' because in our view this sentence reflects an alarming disconnection between the opinions of the NASA Planetary Protection Officers and the actual priorities, goals, and desires of the Mars community.Note that, to address their comments specifically, we cite them as they were presented by Rummel and Conley (2017).We conclude that searching for life on Mars before it is too late requires a reassessment of current policies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.046 | 0.041 |
| Insufficient payload (model declined to judge) | 0.010 | 0.010 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".