MétaCan
Menu
Back to cohort
Record W4367024186 · doi:10.5114/for.2022.126064

Taurodontism - can the diagnosis of this anomaly affect the success of dental treatment?

2022· article· en· W4367024186 on OpenAlexaboutno aff
J Pach, Piotr Regulski, Jacek Tomczyk, Izabela Strużycka

Bibliographic record

VenueOrthodontic Forum · 2022
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAffect (linguistics)MedicineAnomaly (physics)DentistrySociologyCommunication

Abstract

fetched live from OpenAlex

Taurodontyzm to rzadka anomalia morfologiczna trzonowych zębów wielokorzeniowych mlecznych oraz stałych.Charakteryzuje się pionowym powiększeniem komory miazgi oraz skróceniem korzeni.Cel.Celem pracy było przedstawienie znaczenia taurodontyzmu dla powodzenia wielospecjalistycznego leczenia stomatologicznego -przeglądu dokonano na podstawie dostępnego piśmiennictwa.Materiał i metody.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.044
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0440.020

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 head0.024
GPT teacher head0.279
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueOrthodontic ForumSame topicUrological Disorders and TreatmentsFrench-language works237,207