Bibliographic record
Abstract
Veranstaltungshinweise der DGT 2017/2018 18th World Conference on Lung Cancer vom 15.–18.10.2017 in Yokohama, Japan 26. Jahrestagung der Deutschen Gesellschaft für Thoraxchirurgie (DGT) vom 19.–20.10.2017 in München Techniken der fortgeschrittenen Thoraxchirurgie vom 02.–03.11.2017 im Rudolf-Zenker-Institut für Experimentelle Chirurgie, Rostock 7. Thoraxchirurgie Kurs–Teil I: Grundkurs VATS und offene Resektion. 20.–21.11.2017 Lungenklinik Krankenhaus Köln-Merheim 7. Thoraxchirurgie Kurs – Teil II und III: VATS-Lobektomie und Sleeve-Lobektomie. 23.–24.11.2017 Lungenklinik Krankenhaus Köln-Merheim 4. Ostercappelner Bronchoskopie Kurs (Grundkurs) vom 08.–09.12.2017 in Ostercappeln Konvent der leitenden Thoraxchirurgen vom 26.–28.01.2018 im Marriot-Hotel, Hamburg 33. Deutsche Krebskongress 21.–24.02.2018 in Berlin 58. Kongress der Deutschen Gesellschaft für Pneumologie vom 14.–17.03.2018 in Dresden 135. Kongress der Deutschen Gesellschaft für Chirurgie sowie 4. Frühjahrestagung der DGT vom 17.–20.04.2018 in Berlin 26th European Conference on General Thoracic Surgery (ESTS), 27. – 30.05.2018 Ljubljana, Slovenia 27. Jahrestagung der Deutschen Gesellschaft für Thoraxchirurgie vom 12.–14.09.2018 in Mannheim The IASLC19th World Conference on Lung Cancer 23. – 26.09.2018 in Toronto, Canada Über diese und weitere Veranstaltungen informiert auch die Homepage der DGT: http://www.dgt-online.de/?id=280
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.
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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.306 | 0.249 |
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".