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<i>ERJ</i>Podcast December 2016: Assessing the worldwide epidemiology of sarcoidosis
Martin R. Miller, Mina Gaga, Εleftherios Ζervas, Marc Humbert, Yvette C. Cozier, Edmund Lau, Vivek Thakkar, Philippe Hervé, Norbert F. Voelkel, J. M. Bogaard, Samantha J. Merck, Mary Armanios, Annick Clément, J. de Blic, Ralph Epaud, Laurie Galeron, Nadia Nathan, Alice Hadchouel, Angelo Barbato, Deborah Snijders, Nural Ki̇per, Steve Cunningham, Matthias Griese, Andrew Bush, Nadia Kamel, Gary P. Anderson, Tom Kotsimbos, Mukund Uplekar, Sachin Atre, William M. Wells, Diana Weil, Rafael Alonso Hernández López, Giovanni Battista Migliori, Mario Raviǵlione, Wenjia Chen, Larry D. Lynd, J.E.F. Fitzgerald, Carlo A. Marra, Robert Balshaw, Teresa To, Hamid Tavakoli, Mohsen Sadatsafavi, Prathap Pillai, Yih‐Chih Chan, Shih‐Ying Wu, Line Ohm‐Laursen, Clare Thomas, Stephen R. Durham, Andrew Menzies‐Gow, Raj K Rajakulasingam, Ying Sun, Hannah Gould, Chris Corrigan Lung, Arnulf Langhammer, Ane Johannessen, Turid Lingaas Holmen, Hasse Melbye, Sanja Stanojevic, M Lund, Morten Nissen Melsom, Philip Quanjer Cystic, Charles R. Esther, Lidija Turkovic, Tim Rosenow, Marianne S. Muhlebach, Richard C. Boucher, Sarath Ranganathan, Stephen M. Stick, Maria C. Magnus, Siri E. Håberg, Anders Engeland, Per Nafstad, Øystein Karlstad, Wenche Nystad, Dale Smith, David Gozal, Scott J. Hunter, Mona F. Philby, Jaeson Kaylegian, David Gozal, Ari Shechter, Adriana Stamm, Stéphanie Saxer, Mona Lichtblau, Elisabeth Hasler, Suzana Jordan, Lars C Huber, Konrad E. Bloch, Oliver Distler, Silvia Ulrich, Maria‐Rosa Ghigna, Christophe Guignabert, David Montani, Barbara Girerd, Xavier Jaïs, Laurent Savale, Vincent de Montpréville, Olaf Mercier, Olivier Sitbon, Florent Soubrier, Élie Fadel, Gérald Simonneau, Peter Dorfmüller, Robyn S. Lee, Jean‐François Proulx, Dick Menzies, Marcel Sarcoidosis, Elizabeth V. Arkema, Johan Grünewald, Susanna Kullberg, Anders Eklúnd, Johan Askling, Yvan Jamilloux, Delphine Maucort‐Boulch, Sébastien Kerever, Mathieu Gerfaud‐Valentin, C. Broussolle, Mireille Eb, Dominique Valeyre, P. Sève, Chad A. Newton, Kiran Batra, José Torrealba, Julia Kozlitina, Craig S. Glazer, Carlos Aravena, Keith C. Meyer, Ganesh Raghu, Harold R. Collard, Christine Kim, Raphaël Borie, Laure Tabèze, Gabriel Thabut, Hilario Nunès, Vincent Cottin, S. Marchand‐Adam, Grégoire Prévôt, Abdellatif Tazi, J. Cadranel, Hervé Mal, Lidwine Wémeau-Stervinou, Anne Bergeron, Dominique Israël‐Biet, C. Picard, Martine Reynaud Gaubert, S. Jouneau, Jean‐Marc Naccache, Julie Mankikian, Christelle Ménard, Jean-François Cordier, Marion Réocreux, Bernard Grandchamp, Patrick Revy, Caroline Kannengiesser, Bruno Crestani, Purificación Pérez-Terán, Oriol Roca, José F. Rodríguez‐Palomares, Juan Carlos Ruiz‐Rodríguez, Ana Zapatero, Joaquim Gea, Joaquim Serra, Arturo Evangelista, Joan Ramón Masclans, Sumin Shin, Hye Yun Park, Hyunkyung Kim, Hong Kim, Yong Mook Choi, Young Tae Kim, Sang‐Won Um, Myung Chul Chung, Hojoong Kim, Jung Hye Kwon, Jae Ill Zo, Eliseo Güallar, Juhee Cho, Young Mog Shim, Elisa Petruccioli, Thomas J. Scriba, Linda Petrone, Mark Hatherill, Daniela María Cirillo, Simone A. Joosten, Tom H. M. Ottenhoff, Claudia M. Denkinger, Delia Goletti, Antoni Torres, Nelson Lee, Catia Cillóniz, Jordi Vilà, Menno M. van der Eerden, Sébastien Hulo, Virginie de Broucker, Jonathan Giovannelli, Nathalie Chérot‐Kornobis, Véronique Nève, Annie Sobaszek, Luc Dauchet, Jean‐Louis Edmé, Philip H. Quanjer, Jürgen Schwarze, Paul M. Fitch, Janneke Heimweg, Claire Errington, Reina Matsuda, Harold de Bruin, Maarten van den Berge, Antoon van Oosterhout, Irene H. Heijink, Louise Fletcher, Chen Yang, Paul Whitaker, Miles Denton, D. Peckham, I. Clifton, Alina Vodonos, Itai Kloog, Liora Boehm, Victor Novack, Colombe Saillard, Magali Bisbal, Antoine Sannini, Laurent Chow‐Chine, J.P. Brun, Samia Harbi, Sabine Fürst, Didier Blaise, Maria Paciencia, Véronique Secq, Djamel Mokart, Aaron Lin, W. Strugnell, Helen Seale, Benjamin Schmitt, Michaela Schmidt, Rachael O’Rourke, Richard L. Slaughter, F. Kermeen, Norman Morris, Richard van Altena, Onno W. Akkerman, Jan‐Willem C. Alffenaar, Huib A.M. Kerstjens, Cecile Magis‐Escurra, Martin J. Boeree, Dick van Soolingen, Wiel de Lange, Mathieu S. Bolhuis, Wouter Hoefsloot, Gèrard de Vries, Tjip S. van der Werf, David Krieger, Nicolas Schönfeld, Silvan Vesenbeckh, Gudrun Bettermann, Thomas Torsten, H. Bauer, Harald Rüssmann, Iulia Ioan, Silvia Demoulin‐Alexikova, Laurianne Coutier, Claude Bonabel, Jane Kirkby, Kim G. Nielsen, Waldemar Tomalak, Bruce Thompson, Cyril Schweitzer, Paul D. Robinson, François Marchal, Mark Greer, Gerdt C. Riise, Lennart Hansson, Michael Perch, Pekka Hämmäinen, Antoine Roux, Sandrine Hirschi, Elodie Lhuillier, Martine Reynaud‐Gaubert, F. Philit, Johanna Claustre, M. Stern, Jens Gottlieb, Are Martin Holm, Adelle S. Jee, Jane Bleasel, Stephen Adelstein, Gregory J. Keir, Tamera J. Corte, Mary E. Strek, Justin M. Oldham, Ayodeji Adegunsoye, Rekha Vij, Damien Viglino, Maxime Maignan, Nicholas T. Vozoris, Denis E. O’Donnell, Sudeep S. Gill
Bibliographic record
VenueEuropean Respiratory Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsCanadian Respiratory Research Network
Fundersnot available
KeywordsEpidemiologyMedicineSarcoidosisMEDLINEFamily medicineLibrary scienceDermatologyPolitical scienceInternal medicineComputer science
Abstract
As part of the December issue, the European Respiratory Journal presents the latest in its series of podcasts. Chief editor Marc Humbert discusses with Prof. Joachim Müller-Quernheim from the Universität Freiburg, Germany, two major new studies published in the ERJ on the epidemiology of sarcoidosis.
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.
metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.026
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.089
Threshold uncertainty score0.297
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.089 | 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.
Opus teacher head0.111
GPT teacher head0.383
Teacher spread0.272 · 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
Published2016
Admission routes1
Has abstractyes