Intensywność cyrkulacji termohalinowej na Atlantyku Północnym a susze w Polsce
Bibliographic record
Abstract
The work considers the cause of the frequency of droughts occurrence variability in Poland. It was proven, that the frequency of droughts shows statistically significant relationship with intensity of thermohaline circulation (THC) in the North Atlantic. In periods of occurrence of positive phase the THC frequency of droughts’ occurrence in Poland grows up and it is about 3.6 times greater, than in periods of occurrence of negative phase the THC. The sign and the value of coefficient characterizing the THC determines the drought occurrence and its duration time. Changeability of the THC is not however the only factor influencing on droughts’ occurrence. The analyses show, that the probability of the Spring and Summer droughts’ occurrence in a year with a positive THC phase is considerably larger, if in period of Winter preceding the drought, the sign of NAO index will be positive. At present (the year 2019) we are presumably already after the culmination of the positive phase of the THC, lasting from the year 1989. As the long-term course of the THC changeability shows the quasi- periodicity, we can presume, that the strong positive trend of occurrence of droughts, lasting from the 80’ of 20th century, will undergo break down.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".