Bibliographic record
Abstract
Приведены результаты международной экспедиции, проведенной в 1993 г. с целью рекогносцировочного обследования инфраструктуры нефтегазового комплекса и состояния лесоболотных экосистем для установления главных проблем, на которых следовало бы сосредоточить усилия при научной проработке их решения. The paper covers information on the international expedition in August 15-30, 1993 in the Tumenskaya region territory in "Noyabrskneftegaz" (Noyabrsk) operation area in the Taz river basin (Krasnoselkup). 19 forest environmental specialists from Russia and 14 foreign experts from the USA, Canada, Austria, England, France and Greece participated in the expedition. Key expedition goal – expert assessment of environmental condition of forest wetland packages subject to man-made stress in oil and gas field development areas and search of solutions to address North West Siberia nature conservation challenges of world-wide value. The expedition findings noted that human disturbed areas in surveyed territory need forest recultivation aimed at arrangement of fast recovery of initial vegetation communities and whole biocoenocises. Recultivation of these lands needs technologies that ensure faster recovery of young vegetation communities compared to available ones. Based on natural facility condition reconnaissance survey the expedition stated its view of forest swampland pattern condition and suggested operations to improve North nature protection activities completely presented in "North forest explorer international expedition report" entrusted to the custody of the local history museum in Noyabrsk, Yamalo-Nenetsky autonomous district.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".