Influência de diferentes dispositivos de microtração nos valores de resistência coesiva
Bibliographic record
Abstract
O objetivo deste estudo foi avaliar a influência de dispositivos de microtração sobre a resistência coesiva de blocos de resina acrílica. Vinte blocos de resina acrílica termopolimerizável (Onda-Cryl Clássico) foram confeccionados e distribuídos em 4 diferentes grupos experimentais (n=5) de acordo com o dispositivo de microtração empregado: G1:Paquímetro modificado; G2: Dispositivo de Andreatta Filho; G3: Dispositivo de Borges; G4: MT-jig. Os blocos foram seccionados em palitos de 1mm2 e submetidos ao teste de microtração (EMIC DL 1000). Os dados foram avaliados pela Análise de Variância e pelo Teste de Tukey, a 5% de significância. Os menores valores de resistência mecânica foram obtidos com os dispositivos de Andreatta Filho (34,22 MPa) e de Borges (34,49 MPa), e os maiores valores com o Paquímetro modificado (49,44 MPa) e o MT-jig (48,40 MPa). Concluiu-se que os valores de resistência mecânica são influenciados pelos dispositivos de microtração utilizados e que não podem ser comparados entre si.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".