Terraforming Mars with Microalgae, Especially Diatoms
Bibliographic record
Abstract
During the last century, the space age was initiated, fueled by numerous efforts to extend our knowledge beyond the solar system and our existence beyond Earth. Since the seventies, many telescopes covering a wide range of electromagnetic radiation, space and planet probes, satellites, and crewed orbital missions have been launched, while humans seek to reach and colonize a planet like Mars. Therefore, a crew's survival on a spaceship during long-term missions has become a critical issue requiring extensive research and innovations. Diatoms, the most abundant silica-walled microalgae, are considered the most successful primary producers on Earth, with an extraordinary diversity responsible for 25% of net primary production fixing 10 13 kg carbon every year. Further, the psychrophilic nature of diatoms makes their adaptability to survive in an ice cold environment well supportive for their survival and a possible life in planet like Mars. Since Mars has a thin atmospheric layer consisting of a pressure of 6–7 mbar, 95%CO 2 , 2.8%N 2 , 2.1%Ar with only 0.13% O 2 compared to 21% O 2 , 78%N 2 , 0.04% CO 2 and ~1000 mBar of atmospheric pressure on Earth it has bright possibility of terraforming Mars into planet suitable for life. Therefore, in this chapter we discuss the prospects of simulating life on Mars, which has a bright microalgae of the greatest potential, i.e diatoms.
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How this classification was reachedexpand
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) | 0.001 | 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) | 0.011 | 0.001 |
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 teacher head, 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".