A természet és a tudomány néhány kompozitjának tribológiai összehasonlítása
Bibliographic record
Abstract
Currently, many of the most sought after timber species are not only scare in international markets but are alsó threatened with extinction.Guaiacum sanctum from the Family Zygophyllaceae (common names: Guayacán, Lignum vitae, Palo santo), was once a commercially valuable timber from the tropical dry forests of Central America.Later centuries with the increase in industry G. sanctum became prized for the unique mechanical and structural characteristics of its wood and suitability for preparing different machine elements.The study shows a tribological comparison (friction, wear) to some modern polymeric materials used for machine elements.It also gives a ranking for the tested materials. ÖsszefoglalásNapjainkban a legkeresettebb fafajták közül több nemcsak ritka lett a nemzetközi piacon, de a kihalásuk veszélye is fenyeget.A Zygophyllaceae családjába tartozó Guaiacum sanctum (ismertebb nevén Guayacán, Lignum vitae, Palo santo), valamikor kereskedelmileg értékes fafajta volt.A későbbi évek során azonban különleges mechanikai és szerkezeti tulajdonságai miatt az ipari fejlődés során a G. sanctum igen értékessé vált gépelemgyártási lehetősége miatt.A cikk korszerű polimer kompozitokkal hasonlítja össze a fa tribológiai jellemzőit, behatárolja elméleti alkalmazhatóságát napjainkban.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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".