Bibliographic record
Abstract
T he Canadian Respiratory Clinical Research Consortium (CRCRC) is an organization of Canadian academic respiratory physicians and health care professionals with a special interest in respiratory related clinical research.Information about the CRCRC can be found on the web at www.crcrc.caOur goal is to facilitate exchange of progress of ongoing clinical research projects and, to help Canadian respiratory researchers bring their clinical research projects to fruition.This involves helping Canadian researchers develop their research projects with respect to designing the question, writing the grant, getting funding, and implementing the protocol.We hold an annual national conference each year.This year's national CRCRC meeting will be held in Montreal on June 19 at the Montreal Hilton Bonaventure Hotel.Our meeting will immediately precede the Canadian Thoracic Society's first annual Canadian Respiratory Conference meeting scheduled in Montreal which will be held from June 20-22 at the same location.The CRCRC conference will be of special interest to Respirologists, Respiratory Therapists, Physical Therapists, Nurses, Clinical Fellows, Postdoctoral Fellows, PhD students, and Graduate students working in respiratory public health/epidemiology.There will be educational sessions offered in research methodology.Dr. Gordon Guyatt will be our visiting speaker this year.We would encourage investigators to submit their respiratory clinical research protocols to the CRCRC.The investigator can then present his/her protocol at the CRCRC annual meeting.The CRCRC will provide objective, constructive review of all submitted protocols.Those protocols that are endorsed by the CRCRC can be subsequently implemented by the investigator through our Canada-wide network of clinical researchers.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.480 | 0.321 |
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".