Bibliographic record
Abstract
We report the findings on 42 patients who underwent diagnostic and therapeutic interventional rigid bronchoscopy under SHFJV. Monitoring of the patients included ECG, blood pressure, SaO2, EtCO2, arterial blood gas analysis, FIO2 jet, FIO2 aw. SHFJV is defined as weight-based innovative mechanical ventilation combined with superposition of two jet-streams in an open system. The high-frequency jet-stream is responsible for the oxygenation; the normo-frequency jet-stream regulates the CO2. Basic patient characteristics (mean±SD): – Age 59.7±13.8 – FEV1 (liter) 2.79±0.58 – PaCO2 (mmHg) 35.52±6 Findings after 10 minutes SHFJV: – PaCO2 (mmHg) 35.13±11.78* – ETCO2 (mmHg) 27.48±4.81 – FIO2 (%) 64.76±12.95 *p=0,001 General characteristics of SHFJV: – No CO2 increase – No risk of barotrauma (open system conditions) – No air trapping (open system conditions) – Best ventilation in open system – Integrated gas analysis – Electronically controlled – Laser application without fire risk (laser safe mode) Summary: SHFJV in diagnostic and therapeutic rigid bronchoscopy is a safe and effective method of ventilation to achieve sufficient oxygenation without any increase of PaCO2.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".