Bibliographic record
Abstract
［1］Anderson R N, Flemings P, Losh S, et al, 1994. Gulf of Mexico Growth Fault Drilled, Seen as Oil, Gas Migration Pathway. Oil & Gas Journal, 6:97-104 ［2］Athy L F, 1930. Density, Porosity, and Compaction of Sedimentary Rocks. AAPG Bulletin, 14:1-23 ［3］Bethke C M, 1986. Inverse Hydrologic Analysis of the Distribution and Origin of Gulf Coast-Type Geopressued Zone. Journal of Geophysical Research, 91:6535-6545 ［4］Chapman R E, 1981. Geology and Water: An Introduction to Fluid Mechanics for Geologists. Hague: Martinus Nijhoff. 228 ［5］Chen S Z, 1999. Overpressured Stratigraphic Formations, Common in Offshore Sedimentary Basins, Are Closely Associated with Oil and Gas Distribution. In: Qiou Z J, Gong Z S, eds. Petroleum Exploration in China. Hydrocarbon Exploration in China Offshore, 4:947-956 ［6］Dow W G, 1994. Preface. In: Magoon L B, Dow W G, eds. The Petroleum System—From Source to Trap. AAPG Memoir 60 ［7］Dowdle W, Cobb W, 1975. Static Formation Temperature from Well Logs—An Empirical Method. Journal of Petroleum Technology, 27:1326-1330 ［8］Duan P Q, 1994. Study on Petroleum Accumulation Models in Half-Grabens Wenchang A & B. The Interior Report of China Offshore Oil Exploration and Development Research Center, 1-11 ［9］Dutta N C, 1987. Fluid Flow in Low Permeable Porous Media. In: Doligez B, ed. Migration of Hydrocarbons in Sedimentary Basins. Collection 45. Paris: Editions Technip. 567-596 ［10］Forbes P L, Ungerer P, Mudford B S, 1992. A Two Dimensional Model of Overpressure Development and Gas Accumulation in Venture Field, Eastern Canada. AAPG Bulletin, 76:318-338 ［11］England W A, 1994. Secondary Migration and Accumulation of Hydrocarns. In: Magoon L B, Dow W G, eds. The Petroleum System-From Source to Trap. AAPG Memoir 60, 211-217 ［12］Fowler W A, 1971. Abnormal Pressures in Midlandfield, Louisiana, Study Group Report 1969-1971. Houston Geol Soc, 48-77 ［13］Galloway W E, 1982. Epigenic Zonation and Fluid Flow History of Uranium-Bearing Fluvial Aqui
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 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".