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Record W7133077124

Assessment of root surface damage produced by avulsion, severe intrusion and extraction of human incisors

2007· dissertation· W7133077124 on OpenAlexfundno aff
Manor Haas

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldHealth Professions
TopicDental Trauma and Treatments
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsPeriodontal fiberIntrusionTooth rootExtraction (chemistry)IncisorMaxillary central incisor
DOInot available

Abstract

fetched live from OpenAlex

The objectives of this investigation were to review the scientific literature and to quantify and characterize the adherent root surface periodontal ligament (PDL) among avulsed, severely intruded and extracted human teeth and to compare topographical and histological techniques as methods for evaluation of retained PDL on traumatized teeth. Topographical and histologic root surface analysis revealed that approximately half the root surfaces of avulsed and severely intruded incisors were denuded of PDL and between half and two thirds of the root surfaces of extracted teeth were denuded of PDL. Avulsed and extracted teeth presented with torn and folded PDL whereas severely intruded incisors demonstrated remaining root surface PDL that was crushed and torn. Topographical and histologic techniques were consistent in quantifying retained PDL of injured teeth.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.511
Teacher spread0.461 · 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
Published2007
Admission routes1
Has abstractyes

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