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General & clinical epidemiology CKD 1-5 (1)
Jean Ferrières, Guy Berkenboom, Zdeněk Coufal, Stefan James, A Mohácsi, Gregory Pavlides, Kirsi Norrbacka, Magali Sartral, MA Paget, M. Tomlin, Uwe Zeymer, Péter Hoffmann, F. Keller, Thalia Marie Blicher, Kristine Hommel, Steen Z. Abildstrøm, Mette Madsen, Anne‐Lise Kamper, K. Rogacev, Tobias Pinsdorf, Oliver Weingärtner, Markus K. Gerhart, Elena Welzel, Kai van Bentum, Andreas Menzner, D. Fliser, Dieter Lütjohann, Gunnar H. Heine, Adriana Di Benedetto, Daniele Marcelli, Guido Giordana, Fabrizio Cerino, Emanuele Gatti, A Otero, M. Dominguez-Sardina, M. C. Castineira, Juan J. Crespo, A Rodríguez Ferreras, Artemio Mojón, D AYALA, José R. Fernández, R. C. Hermida, Investigadores Proyecto Hygia, Y. Doi, F. Yoshihara, Yoshio Iwashima, H. Takata, T. Fujii, T. Horio, S. Nakamura, Y. Kawano, Mihai Onofriescu, Vasile Cepoi, Liviu Segall, A. Covic, Ilona Kurnatowska, P. Grzelak, Marta Kaczmarska, Anna Masajtis‐Zagajewska, E. Rutkowska-Majewska, Ludomir Stefańczyk, Michał Nowicki, А. І. Гоженко, Oleksandr Susla, М. І. Швед, Ihor Mysula, H. Susla, A. C. Cordeiro Silva, P. Smanio, Fernanda C. Amparo, M. A. C. Oliveira, Carolina Gonzaga, Márcio Gonçalves de Sousa, Oswaldo Passarelli, Flávio A. O. Borelli, L. D. Lotaif, A. G. M. R. Sousa, Celso Amodeo, D. Inaguma, R. Ando, Masayuki Ikeda, N. Joki, Fumihiko Koiwa, Yasuhiro Komatsu, T. Sakaguchi, Toshio Shinoda, Toshihiko Yamaka, Takashi Shigematsu, Francesco Pizzarelli, C. Rossi, Pietro Dattolo, G. Tripepi, Maren Mieth, Stefania Bandinelli, Carmine Zoccali, R. Mass, Luigi Ferrucci, Fiona J Gifford, Shona Methven, D E Boag, Elaine Spalding, M. S. MacGregor, Jens C. Brüning, Bernhard Banas, Bernhard K. Krämer, Markus Schubert, Carsten A. Böger, Abdolamir Atapour, Esmaeel Kalantari, Shahrzad Shahidi, M. Mortazavi, B. Marron, Pablo Quirós, N. Vega, César García-Cantón, F. Moreno, M. Prieto, Francisco Ahijado, Mercedes Salgueira, Carolina Consuelo Llanos Paez, Inés Castellano, José Luis Lerma, Gabriel de Arriba, Juan Ocaña, Alfonso J. Rodríguez‐Morales, M. Ramirez de Orellana, Ana Paula dos Santos Ramos, V. Duarte, Chimpen Ruiz, Soledad Gallego, Alberto Ortíz, T. Furuhashi, M. Moroi, Hiroki Hase, H. Masai, Taeko Kunimasa, Ryo Nakazato, Hiroshi Fukuda, Kaoru Sugi, A. Valluri, Alison Severn, S. Chakraverty, Rossella Palma, Alessandro Polo, M. J. Rabaza Espigares, M. Manjon, S. Cerezo, R. Garcia-Agudo, S. Aoufi, F. Ruiz-Carrillo, Pedro González-Carro, Francisco Pérez-Roldán, José María Tenías, Pedro Leme Silva, Cátia Cunha, Lorena Eugênia Rosa Coelho, Alexandre Pio Viana, Rosa Moreira, S. Wagner, Richard A. Friedman, V. G. Veloso, José Hermógenes Rocco Suassuna, B. Grinsztejn, Satoshi Iimuro, E. Imai, Sadao Matsuo, Tsuyoshi Watanabe, K. Nitta, T. Akizawa, H. Makino, Yasuo Ohashi, Akira Hishida, Shigeru Fujimoto, Yuichiro Yano, Yuji Sato, T. Konta, Keiko Iseki, Takahito Moriyama, Kazufumi Yamagata, Kazuhiko Tsuruya, Hideaki Yoshida, K. Asahi, Antonio Bellasi, Marcora Mandreoli, Leopoldo Baldrati, Angelo Rigotti, M. Corradini, Giorgia Russo, G Malmusi, Pierpaolo Di Nicolò, Cecilia Orsi, P.G. Poisetti, L. Zanbianchi, F. Caruso, Alessandro Fabbri, Antonio Santoro, Olivier Moranne, Cécile Couchoud, C. Pradier, Vincent Esnault, Cécile Vigneau, P. Skapinakis, M. Ikonomou, P. Chondrogiannis, M. Sygelakis, C. Varvara, Parthena Kyriklidou, Olga Balafa, Venetsanos Mavreas, D. Tsakiris, K. Siamopoulos, Marianna Eleftheroudi, A. Chardalias, A. Banioti, I. Vakianos, Rigas Kalaitzidis, K. Asimakopoulos, Alan G. Jardine, M. MacGregor, Arjan van der Tol, W. Van Biesen, Guy De Groote, Paul Verbeke, Katrien Eeckhaut, R. Vanholder, Vanja Ivković, Sandra Karanović, Ivana Vuković Lela, Dragana Jurić, Margareta Fištrek, Jelena Kos, A. Kovac-Peic, Ivan Pećin, V. Premuzic, M Miletic-Medved, Ante Cvitković, Ljiljana Fodor, B. Jelakovic
Bibliographic record
VenueClinical Kidney Journal · 2011
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineEpidemiologyClinical epidemiologyData scienceIntensive care medicineInternal medicineComputer science
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.077
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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.
Opus teacher head0.354
GPT teacher head0.474
Teacher spread0.120 · how far apart the two teachers sit on this one work
Validation status
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.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther
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".
Quick stats
Citations0
Published2011
Admission routes1
Has abstractno