Magendie and the chemists: the earliest chemical analyses of the cerebrospinal fluid.
Bibliographic record
Abstract
Having described the spinal fluid, François Magendie (1783-1855) called upon a number of chemists in Paris to analyze the material, in the effort to decide if it was a special secretion of the nervous system or simply a filtrate of the blood. J.L. Lassaigne (1800-1859) and J.P. Couerbe (1805-1867) responded. Their results, and those of some earlier investigators, are described. In the ensuing years of the nineteenth century, other investigators similarly conducted analyses of spinal fluid, but these were usually of single constituents in poorly defined diagnostic conditions. In 1909-1912, William Mestrezat (1883-1928) took advantage of the recently introduced technique of lumbar puncture, which by now had become hospital routine, and introduced the modern era of systematic analysis of many components of the spinal fluid, correlated with specific disease states.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.005 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".