[The newly certified 105 Japanese medical technologists in clinical microbiology].
Bibliographic record
Abstract
Interest in quality assurance(QA) in clinical laboratories in Japan has increased over the past 30 years. We have however been lagging behind countries such as the USA, Canada and the UK in QA of clinical microbiology. The main problem of QA in Japan is human resources. There are only about 400 laboratory physicians certified by the Japanese Society of Laboratory Medicine(JSLM). Almost no academics in microbiology are interested in QA and they mostly lack clinical competence. There is a small number of faculty positions, and promotions are mostly based on research productivity while medical graduates are increasingly drawn to bench work for basic, short-term research. The Japanese Society for Clinical Microbiology (JSCM) was established in 1990 in order to promote the development of clinical microbiology and its relevant fields in Japan. And 2001 was a milestone in sustained efforts of the JSLM to initiate qualifying examinations of medical technologists(MT) in clinical microbiology. 105 MT in clinical microbiology were newly certified by the Joint Committee of JSCM, JSLM, Japanese Association of Medical Technologists (JAMT) and College of Clinical Pathology of Japan(CCPJ). The certified MTs have appropriate educational background and are well motivated. With good on-the-job training, they are expected to perform effectively various tasks, including laboratory management. Recent radical changes in the health care delivery system have also had serious implications on laboratory services and QA of microbiological tests. The primary goal of the clinical microbiology laboratory is to provide accurate diagnostic testing and high-quality service at a low cost for its customers. It is believed that the Joint Committee and the newly certified MTs will contribute to narrowing the gap between Japan and other countries in clinical microbiology.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.046 | 0.038 |
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".