Bibliographic record
Abstract
Folyóirat-referátumok. Angiológia \nAz agyi artériák és szívkoszorúerek \nbetegsége közötti összefüggések \n(Zerebrale arterielle \nVerschlusskrankheit bei koronärer \nHerzerkrankung) \nJander, S., Stegemann, E. \n(Klinik für Neurologie, Klinik für \nKardiologie, Pneumonologie und \nAngiologie, Heinrich-Heine \nUniversität Düsseldorf, Düsseldorf, \nNémetország): \nDtsch. Med. Wochenschr., \n2014, \n139 \n(23), \n1224–1227. | Kardiológia \nAz ischaemiás szívbetegség \npatofiziológiájának, kezelésének \nés kimenetelének nemek közti \nkülönbségei (Sex differences in the \npathophysiology, treatment, and \noutcomes in IHD) \nSanghavi, M., \nGulati, M. \n(Monika Sanghavi, \nDepartment of Internal Medicine, \nDivision of Cardiology, University of \nTexas Southwestern Medical Center, \n5323 Harry Hines Blvd, Dallas, \nTX 75390-8830, \nAmerikai Egyesült Államok): \nCurr. Atheroscler. Rep., \n2015, \n17, \n 34. | Sportorvostan \nAz üléssel töltött idő kapcsolata \na betegségek előfordulásával, \na halálozás és a kórházi kezelés \nrizikóival felnőtteknél: szisztémás \náttekintés és metaanalízis \n(Sedentary time and its association \nwith risk for disease incidence, \nmortality, and hospitalization in \nadults: a systematic review and \nmeta-analysis) \nBiswas, A., Oh, P. I., \nFaulkner, G. E., \net al. \n(Levelező \nszerző: \nD. A. Alter, \n Institute for \nClinical Evaluative Sciences, \n2075 Bayview Avenue, G1-06, \nToronto, Ontario M4N 3M5, \nKanada; e-mail: dalter@ices.on.ca): \nAnn. Intern. Med., \n 2015, \n162 \n(2), \n123–132. | Szülészet-nőgyógyászat \nAz anya hipertenzív rendellenessége \nterhességben és az utódok kognitív \nzavara 70 évvel később: Helsinki \nSzületési Kohorsz Tanulmány \n(Maternal hypertensive disorders \nin pregnancy and self-reported \ncognitive impairment of the \noffspring 70 years later: the \nHelsinki Birth Cohort Study) \nTuovinen, S., Eriksson, J. G., Kajantie, \nE., et al. \n (Institute of Behavioral \nScience, University of Helsinki, \nHelsinki, Finnország): \n Am. J. Obstet. \nGynecol., \n2013, \n208 \n(3), 200.e1–200. \ne9. | Könyvismertetés. Tang, J. B. (Ed.-in-Chief), \nAmadio, P. C., Guimberteau, \nJ. C., Chang, J. (Eds): \nTendon surgery \nof the hand \n(A kéz ínsebészete) \nElsevier Saunders, Philadelphia, PA, \n2012 \nISBN 978-1-4377-2230-7 | OH-KVÍZ \n
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.759 | 0.649 |
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".