Wildfire in deliblatska pescara (Serbia) - case analysis on july 24th 2007
Bibliographic record
Abstract
Wildfire in Deliblatska Pescara (Serbia) on July 24th 2007 is discussed from the hypothesis on the influence of Sun processes and resulting ignition. The work hypothesis is related with establishing the eventual connection between the phenomena of energy source of corpuscular radiation on the Sun and the phenomena of the initial phase of wildfire event. Having in mind existing lack of information on recent explanations for certain number of cases concerning the causes that strengthened the ignition, it was necessary to check the parameters that could, in this case, provide the explanation of the potential causality. It turned out that, at that time, not only wildfires occurred in direct surroundings of Deliblatska Pescara but they also seized numerous locations of southern Europe and northern Africa, as well as, certain parts of Canada. The coincidence of these events has pointed out that the hypothesis on the penetration of charged particles towards Earth, in two basic ways, may also be confirmed in this case. According to our results, the mentioned penetration caused air mass seizing, thus dictating different weather circumstances in the area of Mediterranean, as well as in the most northern part of America. The aim of this work was to test the heliocentric hypothesis on wildfires through this example, as well as to point argumentatively the Solar wind influence on hydrodynamic processes in the atmosphere.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".