Miscellaneous. Folyóirat-referátumok. Beszámolók. Könyvismertetés
Bibliographic record
Abstract
Folyóirat-referátumok. Diabetológia \nÉrvizsgálatok diabetesben \n(Vascular imaging in diabetes) \nLevitt, K., Vivas, L., Courtney, B., \net al. \n(Levelező szerző: K. A. \nConnelly, Keenan Research Centre for \nBiomedical Science, St Michael’s \nHospital, University of Toronto, \n209 Victoria Street, Toronto, \nOntario, Kanada M5B 1C6): \nCurr. \nAtheroscler. Rep., \n2014, \n16 \n(4), 399. | Kardiológia \nNagy adagú allopurinol hatása \naz ischaemiás szívbetegségben \nszenvedő betegek balkamra- \ntömegére (High-dose allopurinol \nreduces left ventricular mass \nin patients with ischemic heart \ndisease) \nRekhraj, S., Gandy, S. J., \nSzwejkowski, B. R., et al. \n(Division of Cardiovascular and \nDiabetes Medicine, Medical Research \nInsitute, University of Dundee, \nNinewells Hospital and Medical \nSchool, Dundee, Scotland, \nEgyesült Királyság): \nJ. Am. Coll. \nCardiol., \n2013, \n61 \n(9), 926–932. | Sportorvostan \nEnergiaforrás az emelkedő terhelés \nsorán (Energy system contributions \nduring incremental exercise test) \nBertuzzi, R., Nascimento, E. M., Urso, \nR. P., et al. \n (School of Physical \nEducation and Sport, University \nof São Paulo, Brazília; e-mail: \nbertuzzi@usp.br): \nJ. Sports Sci. \nMed., \n 2013, \n12 \n(3), 454–460. | Beszámolók. „Az ultrahang életet \nmenthet” \nA VIMOR kampánya | A Magyar Williams \nSzindróma Társaság \nfennállásának 15. \névfordulója | Könyvismertetés. Sherwin B. Nuland \nFertőző gyógyítók \nA gyermekágyi láz \nés Semmelweis különös története \nFordította: Garai Attila \nISBN 978-963-304-145-1 \nHVG Kiadó Zrt., Budapest, 2013
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.012 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.010 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".