Bibliographic record
Abstract
The Clinical Laboratory Improvement Amendments of 1988 (CLIA 88) (1) have caused great changes not only in US laboratories but in clinical laboratories throughout the world. CLIA’s requirements for pre- and postanalytical control were harbingers of more complete approaches to the implementation of quality systems in clinical laboratories, such as the quality model just introduced by the National Committee for Clinical Laboratory Standards (2). CLIA’s maximum allowable error specifications for proficiency testing (the so-called CLIA limits) are being used by manufacturers to help set analytical performance goals for new laboratory analyzers. These specifications have ignited a transatlantic debate (3) regarding the formulation of analytical goals based strictly on patient variation vs the CLIA goals, which were based on a host of variables, including physician surveys, patient variation, analytical performance, and even prior proficiency testing (PT) performance. The enactment of CLIA 88 unraveled the comfortable existence of a few large PT providers who primarily served hospital laboratories. In the early 1990s, thousands of previously unregulated physician office laboratories were added to the PT pool. Many of these laboratories eventually subscribed to newly established PT providers whose missions were more closely aligned to the participants’ medical organizations, e.g., the American Academy of Family Physicians and the American Society of Internal Medicine. As of 1998, there were 20 different CLIA-certified PT programs (4). The presumably decreased profitability of the PT business has led to a commoditization of PT products and less effort expended in the design and manufacture of PT specimens for analytes that are not directly regulated by CLIA. Another result, coincident with the enactment of CLIA 88, was the development of PT programs that serve a narrow spectrum of users, such as those using instruments of a specific manufacturer. Finally, the requirement to subscribe to CLIA-approved PT programs has eroded the …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.097 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".