Bibliographic record
Abstract
This issue marks the last edition of Clinical and Investigative Medicine under the leadership of Dr. David Bevan. Dr. Bevan has been the Editor-in-Chief of CIM for the past six years. During this time, CIM, as the official journal of the Canadian Society for Clinical Investigation, underwent several major changes. First, CIM was bought from the CMA and is now independently produced. Second, CIM went from a hard copy journal to an on-line journal with open access six months after publication of each issue. Third, the journal now levies publication page charges from its authors with members of CSCI exempted from these charges. Dr. Bevan succeeded in not only maintaining CIM as a MedLine and PubMed referenced journal, but also in increasing its prominence as an open access type on-line journal, while at the same time turning around its finances. The number of submissions to CIM has more than doubled since CIM instituted these changes, and CIM went from a deficit journal to making a small profit: a true great beginning of a new era for CIM. We thank Dr. Bevan for his important contributions. With the retirement of Dr. Bevan, CSCI is happy to announce that Dr. Jonathan Angel from Ottawa will take over from Dr. Bevan as Editor-in-Chief from January 1, 2010. Dr. Angel is a Professor of Medicine at the University of Ottawa and a recognized expert in infectious diseases. He is widely published and brings a wealth of expertise to CIM. Under the stewardship of Dr. Angel, CIM will build on the foundation laid by Dr. Bevan and will continue to publish high quality original research related to any aspect of clinical investigation. At CSCI, we are all looking forward to working with Dr. Angel to increase CIM’s scope and impact factor. We are convinced that Dr. Angel will have a successful tenure at CIM and look forward to seeing the Journal grow further.
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 | 0.019 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.026 | 0.031 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.012 | 0.021 |
| Insufficient payload (model declined to judge) | 0.114 | 0.064 |
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".