The Effect of Tobacco Smoking on Periodontal Health
Bibliographic record
Abstract
first_page settings Order Article Reprints Font Type: Arial Georgia Verdana Font Size: Aa Aa Aa Line Spacing: Column Width: Background: Open AccessExtended Abstract The Effect of Tobacco Smoking on Periodontal Health † by Dorina Lauritano 1,*, Giulia Moreo 1, Francesco Carinci 2, Alberta Lucchese 3, Dario di Stasio 3, Fedora della Vella 4 and Massimo Petruzzi 4 1 Department of Medicine and Surgery, Centre of Neuroscience, University of Milano-Bicocca, 20126 Milan, Italy 2 Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy 3 Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania—Luigi Vanvitelli, 80138 Naples, Italy 4 Interdisciplinary Department of Medicine, University of Bari, 70121 Bari, Italy * Author to whom correspondence should be addressed. † Presented at the XV National and III International Congress of the Italian Society of Oral Pathology and Medicine (SIPMO), Bari, Italy, 17–19 October 2019. Proceedings 2019, 35(1), 17; https://doi.org/10.3390/proceedings2019035017 Published: 10 December 2019 (This article belongs to the Proceedings of The XV National and III International Congress of the Italian Society of Oral Pathology and Medicine) Download Download PDF Versions Notes Excerpt Note: In lieu of an abstract, this is an excerpt from the first page. Periodontal diseases (PD) affect about half of the adult population all over the world. [...] Share and Cite MDPI and ACS Style Lauritano, D.; Moreo, G.; Carinci, F.; Lucchese, A.; Stasio, D.d.; Vella, F.d.; Petruzzi, M. The Effect of Tobacco Smoking on Periodontal Health. Proceedings 2019, 35, 17. https://doi.org/10.3390/proceedings2019035017 AMA Style Lauritano D, Moreo G, Carinci F, Lucchese A, Stasio Dd, Vella Fd, Petruzzi M. The Effect of Tobacco Smoking on Periodontal Health. Proceedings. 2019; 35(1):17. https://doi.org/10.3390/proceedings2019035017 Chicago/Turabian Style Lauritano, Dorina, Giulia Moreo, Francesco Carinci, Alberta Lucchese, Dario di Stasio, Fedora della Vella, and Massimo Petruzzi. 2019. "The Effect of Tobacco Smoking on Periodontal Health" Proceedings 35, no. 1: 17. https://doi.org/10.3390/proceedings2019035017 Find Other Styles Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here. Article Metrics No No Article Access Statistics Multiple requests from the same IP address are counted as one view.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".