Bibliographic record
Abstract
Cosmetic Dentistry 2020 invites scholars, researchers, academicians, students and corporate entities across the globe to join at the 2 nd Annual Meeting on Cosmetic Dentistry & Orofacial Myology (Cosmetic Dentistry-2020) during December 04-05, 2020 in Toronto, Canada. The conference focuses on “Make your dream smile a reality”. Cosmetic Dentistry 2020 mainly focuses on the latest and exciting innovations in every area of Cosmetic Dentistry & Oral, Orofacial Myology, Dental Hygiene, Oral Implantology, Endodontics, Cosmetic Dentistry, Orthodontics, Pediatric Dentistry, Oral & Maxillofacial Surgery, Oral & Maxillofacial Pathology, Digital Dentistry, SEO in Dentistry, Dental Stem Cell, Cardiac Implanted Devices & Electronic Dental Instruments, Oral Analgesics for Acute Dental Pain and Smoking & Tobacco Cessation etc.
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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.101 | 0.063 |
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".