Bibliographic record
Abstract
phenoxarsine) (OBPA), 298-299 100-year flood, 184-185 2001: A Space Odyssey, 119 2-naphthylamine (-naphthylamine), 190, 217 Absorbed dose, 165 Absorptive potential, 269 Acceptable daily intake (ADI), 211 Accident prevention, 295 Acid rain, 241, 244-248 Activator protein-1 (AP-1), 202 Activities, 154 Acute exposure, 202 Acute toxicity, 167 Addition, chemical, 342 Adirondacks, 247 Advocacy, 338 Aerial acid (CO 2 ), 288 Aerobic digestion, 344 Aerosols, 269, 270, 285, 341.See also Particulate matter (PM) Affirmative action, 40-41 Agenda 21, 287 Agonist, 271 Air conditioning, 264 Air-water partitioning, 178 Alabama Department of Public Safety, 14 Alaska pipeline, 239 Albedo, 266 Aldehydes, 205, 258 Aldrin, 98, 272
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.818 | 0.839 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".