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Additional file 1 of Risk assessment of labial bone perforation in the anterior mandibular region: a virtual immediate implant placement study

2021· article· en· W6920872884 on OpenAlexaff

Bibliographic record

VenueFigshare · 2021
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsMcGill University
Fundersnot available
KeywordsImplantPerforationDental implantDental alveolusMandible (arthropod mouthpart)

Abstract

fetched live from OpenAlex

Additional file 1: Supplemental Figure 1 (A) The flowchart of subject and image recruitment protocol. Subjects for full edentulous ridge, dental misalignment, alveolar bone destruction, and distorted image were excluded. (B) Images for tooth missing or implant replacement, pathologic lesion, and prosthodontic treatment were excluded. Supplemental Figure 2 (A) A schematic description of the image orientation procedure. (B) The virtual implant position was verified mesiodistally (upper panel) and buccolingually (lower left panel) from reconstructed 3-dimensional images (lower right panel). Supplemental Figure 3 Definition of labial bone perforation (LBP) in the anterior mandibular region while performing virtual immediate implant placement. (A) The perforation was defined when the virtual implant extruded out of the outline of the labial cortical bone in the cross-sectioned and axial-viewed images. (B) The non-perforation was defined as the virtual implant within the apical outline of the labial cortical bone.

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)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.773
Threshold uncertainty score0.324

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7730.070

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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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.

Study designSimulation or modeling
Domainnot available
GenreDataset

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
Published2021
Admission routes1
Has abstractyes

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