Geology and organic geochemistry of unique accumulations of natural bitumen
Bibliographic record
Abstract
Западная Канада. Корреляция биомаркерного состава битумоидов из материнских формаций Дюверне, Эксшоу, Деболт (девон, миссисипий), Гордондейл (юра) с углеводородами в залежах показала, что последние в большинстве своем формировались из различных источников и даже с разрывом во времени. Месторождения севера Сибирской платформы, (Оленекское) как и битумы Альберты формировались в несколько этапов из которых главным был доколизионный (доскладчатый), в течение которого углеводороды, сгенерированные в области пассивной континентальной окраины мигрировали в коллектора на склоны крупных поднятий (щиты, своды). Постколизионный этап был связан с размывом верхних горизонтов залежей и интенсивной биодеградацией. Western Canada. Correlation of the biomarker composition of bitumens from the parent formations Duvernay, Exshaw, Debolt (Devonian, Mississippian), Gordondale (Jurassic) with hydrocarbons in the bitumen fields showed that the latter were mostly formed from different sources and even with a gap in time. The fields of the north of the Siberian Platform, (Olenekskoe) as well as the bitumens of Alberta were formed in several stages, the main one being pre-collision (pre-folding), during which hydrocarbons generated in the area of the passive continental margin migrated into reservoirs on the slopes of large uplifts (shields, arches). The post-collision stage was associated with erosion of the upper horizons of deposits and intense biodegradation.
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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 | 0.000 | 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) | 0.001 | 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".