Bibliographic record
Abstract
Chronic Obstructive Pulmonary Disease (COPD) is the most common cause of admission to acute care facilities in Canada. The burden of illness for patients, caregivers and the health care system is profound. Dyspnea in advanced COPD pervades all aspects of patients' lives. When increasing symptom burden limits patients to their homes, crucial primary care services become less accessible, and care of end-stage COPD becomes increasingly fragmented and reactive. Given the considerable physical and psychosocial consequences of advanced COPD, this phase can be devastating for patients and families. In this article we outline the need for clinical interventions and re-organized models of care designed for better continuity to achieve more favorable outcomes for these patients and their families. Outreach programs and use of personalized action plans that include advice on careful use of opioids can be remarkably effective. The move toward an integrated approach to COPD management with more effective advance care planning will help patients and their families make informed decisions throughout the illness trajectory. Intensive medical treatment focused on increasing survival can coexist with both holistic and palliative approaches to improve the quality of life of patients with severe end-stage COPD.
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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".