Seasonal patterns of substrate utilization by bacterioplankton: case studies in four temperate lakes of different latitudes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Utilization of 95 carbon sources by bacteria in 2 Canadian Shield lakes and 2 Texan reservoirs was determined using Biolog-GN microtiter plates. Triplicate plates were inoculated and incubated for 5 d, during which color development was monitored twice daily by optical density (OD 595 ). Optical densities in plate wells containing carbon substrates were corrected for blank absorbance at each measurement time. Then, data on optical densities of all substrate wells were selected from a single measurement time, to construct a community-level physiological profile. This measurement time was chosen so that plates would be compared at similar levels of color development. This data selection also generally maximized correlations of substrate utilization patterns determined from replicate plates. Multivariate analyses (ordinations) of the community-level physiological profiles identified several amino acids, carboxylic acids, and carbohydrates associated with seasonal patterns of substrate utilization. Multivariate analyses further revealed patterns in substrate utilization common to all 4 lakes: strong relative responses to amino and carboxylic acids in cool seasons and strong relative responses to carbohydrates in warm seasons. These patterns may be driven by seasonal events among phytoplankton that influence carbohydrate supply, and appear to be dampened in an oligotrophic lake, which does not support high algal abundance.
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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) | 0.003 | 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