Organic petrography and Rock-Eval characteristics of the Cenozoic fossil forest litter of Axel Heiberg Island, Nunavut, and their implications for hydrocarbon generation
Bibliographic record
Abstract
An investigation of the organic petrography and hydrocarbon generative potential of the Eocene fossil forests of Axel Heiberg Island was conducted. Huminite (39-75%) and liptinite (17-42%) are the dominant macerals. Rock-Eval pyrolysis indicates moderate hydrocarbon potential in selected samples. Neither Rock-Eval pyrolysis nor organic petrography alone can adequately assess the hydrocarbon generative potential of terrigenous source rocks. Rock-Eval pyrolysis measures anomalously high oxygen indices for unhumified samples. Organic petrography data do not necessarily directly correlate with the hydrocarbon potential of the fossil-forest sediments. When results from both methods are examined in combination, however, a more accurate interpretation of the nature of the organic matter and its hydrocarbon generative potential is possible.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".