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Behaviour Of Hero NiTi Instruments Used By An Experienced Operator Under Access Limitations

2002· article· en· W2050332860 on OpenAlexaff
Ghassan Yared

Bibliographic record

VenueAustralian Endodontic Journal · 2002
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsImaging phantomNickel titaniumTorqueCrown (dentistry)Head (geology)DentistryOperator (biology)Computer scienceMedicineArtificial intelligenceShape-memory alloyPhysicsGeology

Abstract

fetched live from OpenAlex

The purpose of this study was to evaluate the failure incidence of Hero 642 nickel-titanium (NiTi) rotary instruments (HRI) when used by an experienced operator in conjunction with different motors and under limitations of access. HRI were used by an experienced operator in a crown-down technique. The teeth were mounted in resin arches of a phantom head to reproduce limitations of access. In Groups 1, 2, 3 and 4, air, high torque control, low torque control and very low torque control motors were used respectively. Each group included 30 canals in extracted human molars. One set of HRI was used for each canal; the HRI were sterilised before each case. A 2.5% NaOCl solution was used as an irrigant. An experienced operator performed all the cleaning and shaping procedures after application of a rubber dam. The opening of the mouth in the phantom head was standardised for the four groups. Instrument fracture did not occur in any of the groups. The air, high torque control and low torque control motors were as safe as the very low torque control motor when HRI were used by an experienced operator in a crown-down manner at 300 rpm.

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)0.002
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.023
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.153
GPT teacher head0.355
Teacher spread0.203 · 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 designBench or experimental
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

Citations5
Published2002
Admission routes1
Has abstractyes

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Same venueAustralian Endodontic JournalSame topicEndodontics and Root Canal TreatmentsFrench-language works237,207