Bibliographic record
Abstract
The Family Physician Airways Group of Canada (FPAGC) has created, in partnership with the College of Family Physicians of Canada, an asthma action plan. The Canadian Asthma Consensus Guidelines Group (see www.asthmaguidelines.com/) clearly states that asthma education is key to managing asthma. Part of a good educational program is a personalized asthma action plan. This plan is available on a website at www.asthmaactionplan.com. A recent (November 2000) coroner’s report in Ontario stated the following. • Physicians should prepare, in consultation with their patients, a written “self-management action plan” that details appropriate use of medicine, lists potential environmental irritants, and outlines steps to be taken by patients if breathing problems arise. • The College of Family Physicians of Canada should develop a generic self-management action form to assist physicians and patients in preparing asthma action plans. Each action plan should be individualized; physicians should base management decisions on levels of asthma severity. Levels of severity on the planning form are colour-coded and based on the traffic-light system of green for go, yellow for caution, and red for stop. Severity is based on the usual parameters, including symptoms, β2-agonist use, and peak flow measurements. Maintenance medications are entered in the green section, and clinicians’ instructions are written in the other sections as appropriate. A common example of the first piece of advice in the yellow section is to double the maintenance dose of inhaled steroids. There is also a place to list known asthmatic triggers to reiterate the necessity of considering the environment. The FPAGC would like you to use this form in your practice. Completion of this action plan, and its distribution, will help improve the profession’s compliance with this coroner’s report. It is well known that asthma patients often underplay their illness. This planning form will be one step in their education about self-management. Please feel free to download the form and personalize it with your office or clinic name. Comments or suggestions
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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 | 0.010 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.285 | 0.093 |
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".