Bibliographic record
Abstract
Acid production 107, 220 -resistance mechanism 86 Acidulated phosphate fluoride 93 Actinomyces 242 Acute toxicity 121 Adolescents 279 Age 52 N-Alkylpolymethylenediamines 33 Alveolar bone 117 Amalgam 133 Amine fluoride 11 Ampholyte 93 Anticalculus 72 Antimicrobial agents 33, 113, 130 Antiplaque effect 254 -test 113 Approximal caries quantification, model approach 436 Artificial caries 93 Autoradiography 226 Bacteria 52 Bacterial metabolism 189 Bicarbonate 231 Biphosphonate 72 Blind study 286 Bovine enamel 81 --, permeability 164 --softening, in vivo 334 Brushing 263 Buffers 231 4SCa uptake 226 Calcium 203, 248 -lactate 376 -phosphate 101 Calculus 72, 376 Canada 290 Canine tooth 301 Carbohydrate 203 Caries 23,72, 137, 145,216,256 -, approximal 364 -, artificial 1 -, diagnosis 364, 436 -, in vivo 142 -prediction 59, 65 -, prevention 239, 371 -, rat model 344 -, recurrent 133 -reversals 127 Cariogenic diets 39 -microflora 298 Cariogenicity test, intraoral 334 Cationic surfactant 254 Cementum 117
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.777 | 0.682 |
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".