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Record W2998827546

Young Scientist Awards of Cosmetic Dentistry 2020

2019· article· en· W2998827546 on OpenAlexaboutno aff
Daniel A. Haas

Bibliographic record

VenuePeriodontics and Prosthodontics · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsnot available
Fundersnot available
KeywordsCosmetic dentistryDentistryMedicineOral and maxillofacial surgeryOrthodontics
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.046
GPT teacher head0.375
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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