Bibliographic record
Abstract
aabamectin see macrocyclic lactone(s) acceptable daily intake (ADI) 6-13, 312, 318, 320, 321, 324, 325, 327, 334, 444, 445, 507, 509, 511, 550 microbiological 9 safety factor 9, 318, 321, 444, 445 accreditation (laboratory) 13, 19, 164, 169, 550 acetaminophen (paracetamol) see non-steroidal anti-inflammatory, NSAID(s) acetylcholinesterase (AChE) 250, 385, 386, 393, 394, 401-403, 407, 413, 476 acetylpromazine (acepromazine) see sedative(s)/tranquilizer(s) acetyl salicylic acid see non-steroidal anti-inflammatory, NSAID(s) acridine(s) 500, 502, 505 analysis 522, 525 compounds acriflavine 502, 505, 506 proflavine 502, 505, 506 metabolism 506 pharmacokinetics 506 toxicity 508 acriflavine see acridine(s) acute reference dose (ARfD) 9, 10, 321 aklomide see antiprotozoan albendazole see benzimidazole(s) aldicarb see carbamate(s) aldrin see organochlorine (OC) pesticides alkaloid(s) 258, 409 allethrin see pyrethroid(s) aminoacetonitrile derivatives (AADs) see anthelmintic(s) amitraz see formamidine(s) amprolium see anticoccidial (coccidiostat) anabolic steroid, anabolic agent see hormone(s) analgesic 322, 427, 439, 474 analog to digital convertor 97 andogen(ic) see hormone(s) androgen receptor (AR) 162, 165, 173, 175 androgen receptor assay(s) 120, 162, 163, 166-168, 170, 171, 176, 179 androsterone(s) see hormone(s) animal tissue(s) see tissues (animal) antagonist 163, 164, 177, 179, 196, 255 anthelmintic(s) 141, 245, 246, 249-252, 255, 258, 262, 265 analysis 31, 36, 37, 39, 54, 55, 58, 113, 267-270, 273-279, 290-292, 461, 560 classes 36, 249, 255 aminoacetonitrile derivatives (AADs) 252 mode of action 255 Chemical Analysis of Non-antimicrobial Veterinary Drug Residues in Food, First Edition.Edited by Jack F.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.605 | 0.488 |
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".