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Record W2346779677 · doi:10.1007/bf03356735

Abstracts from the 8th Annual Meeting of the Scientific Association of Swiss Radiation Oncology (SASRO)

2004· article· en· W2346779677 on OpenAlexaff
Abdelkarim S. Allal, C. Ares, Pavel Dulguerov, É. Tschanz, C Verdan, Paulette Mhawech, Oliver Riesterer, M. Honer, Van Vuong, Wolfram Jochum, Daniel Zingg, Stephan Bodis, Simon M. Ametamey, Martin Pruschy, Natalie Inteeworn, Stefanie Ohlerth, Gisele Höpfl, Małgorzata Roos, Melanie Wergin, Carla Rohrer Bley, Max Gassmann, Barbara Kaser‐Hotz, Sylvie Berthou, DM Aebersold, S. Ganapathipillai, Béla Streit, D. Stalder, G. Gruber, Richard Greiner, Yitzhak Zimmer, G. Lutters, Wilhelm Krek, A. Tenzer, Barbara Hofstetter, Christophe Bonny, A. Azria, Christel Larbouret, Sibylle Cunat, Mahmut Özsahin, A. Zouhair, Sophie Gourgou, Pierre Martineau, Dean B. Evans, Gilles Romieu, Pascal Pujol, André Pèlegrin, J. Heuberger, Peter Kestenholz, Ch. Taverna, Didier Lardinois, Markus Jörger, Didier Schneiter, Michael R. Jerman, Walter Weder, Rolf A. Stahel, S. Bodis, Hansjörg Vees, Nicolas Mach, Anne Hügli, Sabine Balmer Majno, Karl T. Beer, Esther E. Friedrich, I. Frank Ciernik, Nadine Stanek, Christian Taverna, F Mahler, Ch. Landmann, Gabriela Studer, J. Bernier, Augusto Gallino, P. Juelke, Hans-Peter Hafner, Peiman Jamshidi, Paul Erné, Thérèse J. Resink, P Thum, Markus Notter, Mario Bargetzi, Jean‐Christophe Luthi, Sabine Bieri, J. Curschmann, B. Pajic, Helmut Kranzbühler, Brandon Lippold, G Ueltschi, Marco Bonetti, Milena Nasi, Karen N. Price, Monica Castiglione‐Gertsch, C.-M. Rudenstam, Stig B. Holmberg, Jurij Lindtner, Rastko Golouh, Joseph Collins, D. Crivellari, Angela Carbone, Beat Thürlimann, Edda Simoncini, M.F. Fey, Richard D. Gelber, AS Coates, Aron Goldhirsch, Wendy Jeanneret Sozzi, A. Kramar, R.O. Mirimanoff, D. Azria, Daniel Taussky, Minerva Becker, Helmut Kranzbuehler, Marlene H. Weitzel, Luciana Bortoluzzi, Frank Behrensmeier, Bernhard Isaak, Philippe Pasche, Fabienne Teike Lüthi, Damien C. Weber, Anna J. Lomax, Hans Rutz, Eros Pedroni, Jorn Verwey, Gudrun Goitein, Beate Timmermann, Antony Lomax, Alessandra Bolsi, Søren M. Bentzen, Aqsa Khalil, M.I. Saunders, J.C. Horiot, W. Van den Bogaert, B. Cummings, Stanley Dische, Daniel O. Slosman, Tayeb Kebdani, M. Allaoua, O Stadelmann, Roger Stupp, Alessia Pica, J.B. Dubois, Christoph Oehler, U. Ulmer, Urs M. Lütolf, Marius Huser, Charles D. Burger, Gábor Székely, J.B. Davis, Pascal Gervaz, P Gertsch, P. Morel, A. Roth, H. Zenklusen, Anne F. Schott, Gaudenz Curti, H Schefer, Christos Kolotas, George N. Thalmann, D. Vetterli, L. Kemmerling, R. Mini, M Rouzaud, Philippe Nouet, M. Mollà, Laia Escudé, Raymond Miralbell, C. von Briel, Patrice Jichlinski, L Guillou, Antonella Fogliata, G. Nicolini, Luca Cozzi, H. Häfner, Pierre‐Alain Hueber, Dominik Szczerba, E Born, G. Dipasquale, C. Jargy, F Munier, Aubin Balmer, H. P., G. Pasche, H. Wang, Raphaël Moeckli, T. Boehringer, Adolf Coray, Shixiong Lin, B.G. Baumert, Imogen Norton, Eveline M. Schoenmaker, Jérôme Krayenbühl, M-A Bründler, K. Allemann, Dagmar Laluhová, T. Collen, Philippe Coucke, Gerhard Ries, Kaspar Rufibach, P Huguenin, Merna Abdou, Christophe Girardet, Hansjoerg Vees, Roland Bigler, Özgür Doğa Özsoy, S. Bouville, Frédéric Corminboeuf, Michael Betz, Oscar Matzinger, Pierre Marie Tebeu, Youri Popowski, H.M. Verkooijen, Christine Bouchardy, Frank Lüdicke, M. Usel, Attila Major, A. Merçay, Gregor Pache, Shelley Bulling, Silvia Bressan, J.‐F. Valley, M Motta, Stefano Presilla, A. Richetti, A Franzetti, Gianfranco Pesce

Bibliographic record

VenueStrahlentherapie und Onkologie · 2004
Typearticle
Languageen
FieldMedicine
TopicAdvances in Oncology and Radiotherapy
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineRadiation oncologyMedical physicsRadiation therapyOncologyInternal medicineGeneral surgery

Abstract

fetched live from OpenAlex
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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.364
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2004
Admission routes1
Has abstractno

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