Bibliographic record
Abstract
Many microorganisms were isolated from condensed water, wiping and scratching of cabin wall and air sampler in Russian space station Mir by Russian astronauts Lazutkin et al. in February 1997 as part of NASDA "First MIR Utilization Space Experiment (JMIR)". For example, there were about 2 x 10(6) cells/ml in condensed water sample No. 1 isolated from the transfer-docking compartment of Crystal module. We tried the colony isolation, pure culturing and identification from these sampled microorganisms. After the bacteria separated from filamentous fungi and yeasts were observed using the phase contrast optical microscopy and gram stain method, twenty-one kinds of biochemical characters, e.g., oxidase test, activity of beta-galactosidase and fermentation of glucose etc., were investigated on the isolated bacteria. Then, we found Serratia liquefaciens and Yersinia enterocolitica and the chemoheterotroph Pseudomonadaceae, Stenotrophomonas maltophila. Furthermore, using ultraviolet (UV) lamp we tried the isolation of radioresistant bacteria, we found the radioresistant Sphingomonas paucimobilis (90.8% identification) by comparing with radioresistant Escherichia coli B/r strain. Considering Mir environment under cosmic radiation, this radioresistant S. paucimobilis might be the mutant from radiosensitive one. Following papers were published [see text].
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".