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CKD BONE DISEASE
Juan Migueo Diaz-Tocados, Carmen Herencia, Julio M. Martínez‐Moreno, A. Montes de, María E. Rodríguez‐Ortiz, Karsten K.H. Gundlach, Janine Büchel, Sonja Steppan, Jutta Passlick‐Deetjen, M. Rodriguez, Yolanda Almadén, Juan R. Muñoz‐Castañeda, C. Nakano, Takayuki Hamano, Naohiko Fujii, I. Matusi, S. Mikami, K. Tomida, Daisuke Mori, Yasuo Kusunoki, Atsushi Shimomura, Yoshitsugu Obi, T Hayashi, Hiromi Rakugi, Yoshitaka Isaka, Y. Tsubakihara, Hanne Skou Jørgensen, Simon Winther, Ellen‐Margrethe Hauge, Lars Rejnmark, Hans Erik Bøtker, Morten Bøttcher, M. Svensson, P. Ivarsen, Yahya Sağlıker, Osman Demırhan, İ. Yildiz, N. Paylar, Nihal İnandıklıoğlu, Eylül Akbal, Erdal Tunç, Linda Tartaglione, S. Rotondi, M. Pasquali, M. L. Muci, Giusy Mandanici, C. Leonangeli, N. Sotir, Soudabeh Shahid Sales, Sandro Mazzaferro, Margherita Gigante, Cesira Cafiero, Giacomina Brunetti, Shari Simone, Maria Grano, Silvia Colucci, E. Ranieri, G. Pertosa, Loreto Gesualdo, P. Evenepoel, Éric Goffin, Björn Meijers, Nada Kanaan, Bert Bammens, Emmanuel Coche, Kathleen Claes, M. Jadoul, Loı̈c Louvet, Laurent Metzinger, Ziad A. Massy, Bacchu Narayana Swamy Raghavendra Prasad, Jennifer R. St. Onge, F. Tentori, Lindsay Zepel, Leah A. Comment, T. Akiba, J. Bömmer, Masafumi Fukagawa, D. A. Goodkin, Sandy Jacobson, Bruce Robinson, Friedrich K. Port, Liesbeth Viaene, Ruben Poesen, Maarten Naesens, Ben Sprangers, Dirk Kuypers, Kathleen Claes, Y. Tominaga, T. Hiramitsu, T. Yamamoto, Makoto Tsujita, Agnieszka Makówka, M. G Yda, E. Rutkowska-Majewska, Michał Nowicki, A. Takeshima, H. Ogata, M. Yamamoto, H. Ito, E. Kinugasa, Yoshiyuki Kadokura, N. Dimkovic, Frank Dellanna, G. Spasovski, C. Wanner, F. Locatelli, A. Troib, M. H. Assadi, D. Landau, Ralph Rabkin, Yael Segev, Paola Ciceri, F. Elli, Laura Cappelletti, Delfina Tosi, Federica Savi, Gaetano Bulfamante, Mario Cozzolino, Fellype Carvalho Barreto, Rodrigo Cardoso de Oliveira, Joyce Benchitrit, Raja Rezg, Vanda Jorgetti, Tilman B. Drüeke, Bruce L. Riser, Carlo Massimetti, G Utzeri, Brunello Biondi, Melissa Verkaik, Etto C. Eringa, René J. P. Musters, W. P. Pulskens, Marc Vervloet, P. M. Ter Wee, Alicia M. Schiller, Mihai Onofriescu, Mugurel Apetrii, Oana Schiller, Flaviu Bob, Romulus Timar, Adelina Mihăescu, Laura Florea, Irina Mititiuc, Gabriel Veisa, Adrian Covic, R. Krause, Heinrich Kaase, Rainer Stange, W. Hopfenmüller, Tai C. Chen, Michael F. Holick, T. Kawasaki, R. Ando, Yasutaka Maeda, Yohei Arai, Hiroko Sato, S. Iimori, T Okado, Tanvi Rai, Shota Uchida, Sho Sasaki, Won Suk An, Eun Ji Jeong, Seok Hyun Son, S. E. Kim, Young Ki Son, A. C. Baxmann, Vineetha Menon, Sérgio Rodrigues Moreira, José Osmar Medina Pestana, A. B. Carvalho, Ita Pfeferman Heilberg, A Bergman, A. R. Qureshi, Matthias Haarhaus, Bengt Lindholm, Peter Bárány, Olof Heimbürger, Peter Stenvinkel, Björn Anderstam, Rosamund Wilson, J. B. Copley, Michael W. Keith, Paul Preston, Rodrigo Souza Santos, Rosa Maria Affonso Moysés, B. C. Silva, Fernando Coelho, Rosilene Motta Elias, Rodrigo Albuquerque Wanderley, L. Q. O. Ferreira, T. C. M. Sena, J. E. B. Gueiros, Ana Paula Santana Gueiros, Rie Awata, Sumio Goto, Kentaro Nakai, Hideki Fujii, Shinichi Nishi, Mahmut Dingil, Selım Kapur, Bohyun Kim, Deuk Yong Lee, S. Yang, H. W. Kim, K. H. Moon, Sharon Palmer, Armando Teixeira‐Pinto, Valeria Saglimbene, Petra Macaskill, Jonathan C. Craig, Giovanni FM Strippoli, Angharad Marks, Huong Thanh Nguyen, Nicholas Fluck, Gordon Prescott, Laura Robertson, Corri Black
Bibliographic record
VenueNephrology Dialysis Transplantation · 2014
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsRegina Qu'Appelle Health Region
Fundersnot available
KeywordsMedicineKidney diseaseBone diseaseInternal medicineOsteoporosis
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)0.002
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: Other
Teacher disagreement score0.061
Threshold uncertainty score0.205
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.012 |
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 head0.011
GPT teacher head0.269
Teacher spread0.258 · 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
Published2014
Admission routes1
Has abstractno