Workflow Development of a 3D Printed Novel Implant Abutment
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.
Bibliographic record
Abstract
Dental implant components, including titanium abutments and superstructures, are currently fabricated through subtractive manufacturing. This investigation explored an additive manufacturing workflow using titanium for the fabrication of a novel dental implant abutment. The novel abutment was designed, patented, digitally refined, and printed in dental-grade titanium Ti64 (titanium 6-aluminum 4-vanadium) using selective laser melting technology. Numerous iterations of the abutment were designed, printed, and evaluated to determine the final optimized design for additive manufacturing. Postprocessing involved bead blasting, fixation with a custom stabilization jig, and manually creating threads using a die. The coupling of the abutment with the implant body was suitable, as assessed under magnification and through radiological assessment. Physical testing of the abutment has been completed. Data indicate that the component can withstand the recommended torque and strength required for provisionalization. The additive manufacturing pathway for abutment fabrication presents an efficient, cost-effective, and customizable workflow.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it