Reconstrução imediata de diferentes defeitos peri-implantares em implantes pós-exodônticos: análise histomorfométrica em cães
Bibliographic record
Abstract
Objective: The purpose of these studies were to evaluate bone regeneration at natural or surgically-created buccal defects at implants placed immediately into extraction sockets (IPIES). Material and methods: Eight Labrador dogswere used and implants were placed immediately into the extraction sockets of P2 (second premolar ) and M1 (first molar), bilaterally. At P2, the buccal wall of the extraction sockets was removed bilaterally to create a standardized defect, 4 mm wide coronally, 2 mm wide apically, and 6 mm height. At P2 sites, Bio-Oss at the test (OB) or autogenous bone at the control (OA) sites were used to fill the defects. At M1 sites, Bone Ceramic ® at the test (BC) or the clot alone (COA) were used to fill the defects. All surgical sites were subsequently covered by a resorbable collagen membraneand a non-submerged healing was allowed . After 4 months the animals were euthanized, bone blocks harvested and processed for histomorphometric analysis . Results: at P2 sites, IS- C values were slightly higher (2.3±0.8mm) in the OA compared to the OB (1.7±0.7 mm). IS- B were 2.7 ± 0.7mm and 2.2 ± 1.0mm on the buccal side and 1.6 ± 0.8mm and 0.8 ± 0.5mm on the lingual side at OA and OB groups, respectively. The average values of PM- C , B - PM and PM -IS in OA and OB groups were 4.3 ± 0.9mm , 4.7 ± 0.9mm , 2.0 ± 1.6mm and 4.3 ± 0.6mm , 4.8 ± 0.6mm , 2.5 ± 0.8mm, respectively. A statistically significant difference was only observed in the thickness of the buccal bony crest at 2-5 mm apically to IS (the implant neck) when the biomaterial (S -OCbt )...
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How this classification was reachedexpand
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".