Geochemical Characterization of the Second White Speckled Shale Formation, Western Canada Sedimentary Basin and the Mass Fraction Maturity Defining Thermal Maturity Level
Bibliographic record
Abstract
Source rocks with database of maturity variation from the Second White Speckled Shale Formation (SWS) were characterized geochemically by traditional source-related and maturity parameters. The changes of absolute concentrations with increasing thermal maturity was concluded. Biomarkers are initially generated and concentrated at immature to low mature stages during diagenesis, then their concentrations decrease dramatically with increasing maturity during catagenesis. n-Alkanes, especially light n-alkanes, are generated from kerogen thermal cracking and their concentrations increase continuously with thermal maturity in the whole oil generation window. Most polycyclic aromatic hydrocarbons are generated at early oil window to peak oil generation then destroyed at post mature stage. It is uncontroversial that crude oils are mixtures of different components charged from source rocks at different temperatures. Traditional thermal maturity parameters are unreliable when tracking maturities of crude oils. Combining absolute concentration profiles, mass fraction maturity model is mentioned for assessing maturity of crude oils.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".