Bibliographic record
Abstract
Wer näher als 50 Meter an einer Schnellstraße oder 150 Meter an einer Autobahn lebt, erleidet im Laufe des Lebens eher eine Krankheit des ZNS. Anhand der Daten von 678 000 Personen im Alter von 45 bis 84 Jahren, die zwischen 1994 und 2003 in Vancouver zu Hause waren, ließ sich errechnen: Personen an verkehrsreichen Wohnorten haben z. B. ein um 14 % erhöhtes Risiko für eine Demenz und leiden eher an Parkinson oder Multipler Sklerose. Diese Korrelation beruht auch auf dem Grad der Luftverschmutzung. Grünflächen und Parks hingegen scheinen sich protektiv auf die neurologische Gesundheit auszuwirken. [sm] Publication History Publication Date: 02 March 2020 (online) © Georg Thieme Verlag KG Stuttgart · New York
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 0.040 |
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".