Influence du charbon actif sur la croissance primaire des plantules de pin gris
Bibliographic record
Abstract
In the boreal forest, the beneficial effect of wildfire on germination substrates has often been linked to the adsorption by charcoal of phenolic compounds detrimental for seedling germination and growth. Our goal was to show that active charcoal has direct positive effects on germination and early growth of jack pine (Pinus banksiana Lamb.) plantlets, a species well adapted to fire. Four concentrations of active charcoal (0%, 50%, 100%, and 150% seed mass) along with two temperatures (2627 °C and 1820 °C) were tested in vitro, in Petri dishes, under constant moisture conditions. Results showed that adding active charcoal to the substrate had no significant effect on jack pine seed germination but inhibited plantlet growth at concentrations over 100%. Significant growth increase was observed only with 50% charcoal at the highest temperature (2627 °C). Deformities were noted at the apex of radicles, particularly with low temperatures and high levels of active charcoal in the substrate.
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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 | 0.001 | 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 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".