Bibliographic record
Abstract
a ab initio methods 267 activation energies 261 affinity model 431 AiZynthFinder 429, 440-442 aldol reaction 262 AlphaFold 21 alternating polarity 88 AMBER.see Assisted Model Building and Energy Refinement (AMBER) amino acid dehydrogenase 20 aminolysis 20 Anaconda 352, 402 analysis (for flow) 134-135 analysis (for high-throughput experimentation) 226, 358 analysis of variance (ANOVA) 180 analysis (statistical) 179 anode 82 array 199, 211-214 artifacts (in machine learning) 411 ASKCOS 435, 440, 449-450 aspartate aminotransferase 16 assay yield 227-228 Assisted Model Building and Energy Refinement (AMBER) 266 atom-transfer radical addition 60 automation 229-232, 332, 378-381,
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.787 | 0.754 |
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".