Bibliographic record
Abstract
Introduction Coalbed Natural Gas Energy in a Changing Environment Coalbed Natural Gas Exploration & Development in Wyoming Mature Coalbed Natural Gas Reservoirs & Operations in the Black Warrior Basin of Alabama Innovative Approaches for Tracing Water Co-Produced with Coalbed Natural Gas: Applications of Strontium & Carbon Isotopes of Produced Water in the Powder River Basin, Wyoming & Montana Safety of Produced Water for Livestock & Wildlife Coalbed Natural Gas Product Water: Geochemical Transformations from Outfalls to Disposal Ponds Monitoring Geochemistry of CBNG Produced Water Outfalls, Disposal Ponds, & Sediments in Powder River Basin, Wyoming Environmental Considerations for Coalbed Natural Gas Development in Colorado Potential Effects of Coalbed Natural Gas Development on Fish & Aquatic Resources Invertebrate Assemblages & Their Relationship to Trace Element Concentrations of Coalbed Natural Gas Ponds in Northeastern Wyoming Ion Exchange & Membrane Treatment Processes for Produced Waters from Oil & Gas Development Utilization of Coalbed Natural Gas Water: Issues, Implications, & Management Water Quality Standards & Policies for Coalbed Natural Gas Produced Water in Wyoming Legal & Regulatory Implications for Coalbed Natural Gas Produced Water in Wyoming Coalbed Natural Gas Activity in Western Canada: The Emergence of Major Unconventional Gas Industry in an Established Conventional Province Australia & New Zealand Coalbed Natural Gas Development & Environmental Implications Coalbed Natural Gas Resources & Exploration in China Index.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.052 | 0.020 |
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".