MétaCan
Menu
Back to cohort

Variability in Tooth Color Selection by Different Spectrophotometers: A Systematic Review

2022· review· en· W4309842499 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Open Dentistry Journal · 2022
Typereview
Languageen
FieldDentistry
TopicDental Research and COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsData extractionComputer scienceRepeatabilityReliability (semiconductor)Selection (genetic algorithm)Information retrievalData miningMEDLINEStatisticsMedical physicsArtificial intelligenceMedicineMathematics

Abstract

fetched live from OpenAlex

Objective: The objective of this study is to evaluate the variability in the precision and reliability of tooth color selection among different spectrophotometers. Methods: A search was performed in the following databases: MEDLINE (PubMed), Google Scholar, Scopus, and Web of Science. A manual search was also performed based on the reference lists of the relevant articles. Screening, data extraction, and quality assessment were performed independently and in duplicate. In the search strategy, medical subject heading (MeSH) words were used in PubMed, and free terms were used for the titles and abstracts of each article. Each keyword was separated by the Boolean operator OR to later be combined with the Boolean operator AND. All three authors were independently involved in study selection based on the inclusion criteria, data extraction, and bias assessment. The assessment of the risk of bias in the In vivo studies was based on the parameters assigned by the Newcastle–Ottawa tool, and the risk of bias in the in vitro studies was categorized by applying the modified ARRIVE and CONSORT criteria. There was great heterogeneity in the experimental design of the articles that were included: however, no article mentioned or adhered to the indications given by the ISO_TR_28642_2016 standard for color measurement. Six studies were included, two studies provided data on the precision and repeatability of the spectrophotometers, three provided data on repeatability, and one provided data on reliability. Results: The selection process using the PRISMA flow chart. The search yielded 714 studies. Of these, 88 duplicates were excluded. A total of 579 studies were excluded because their titles and abstracts did not meet the eligibility criteria. The full texts of the other 47 studies were examined, which led to the exclusion of 39 articles that did not meet the inclusion criteria. Two of the remaining eight articles were excluded after applying the modified ARRIVE and CONSORT criteria and the Newcastle–Ottawa criteria. Of the six studies included in the systematic review, two examined the precision and repeatability of the spectrophotometers, three examined repeatability, and one examined reliability. Conclusion: The SpectroShade Micro and VITA Easyshade show better variability in terms of precision, but they have no significant advantages in reliability. The protocol was registered with PROSPERO (the international prospective register of systematic reviews) under number CRD42021268853.

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.

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)0.010
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.570
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0050.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0180.001

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 head0.088
GPT teacher head0.424
Teacher spread0.335 · 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