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Record W4293217281 · doi:10.1093/ehjci/jeac106

2022 ESC Guidelines on cardio-oncology developed in collaboration with the European Hematology Association (EHA), the European Society for Therapeutic Radiology and Oncology (ESTRO) and the International Cardio-Oncology Society (IC-OS)

2022· article· en· W4293217281 on OpenAlexaff
Alexander R. Lyon, Teresa López‐Fernández, Liam S. Couch, Riccardo Asteggiano, Marianne Aznar, Jutta Bergler‐Klein, Giuseppe Boriani, Daniela Cardinale, Raúl Córdoba, Bernard Cosyns, David J. Cutter, Evandro de Azambuja, Rudolf A. de Boer, Susan Dent, Dimitrios Farmakis, Sofie Gevaert, Diana A. Gorog, Joerg Herrmann, Daniel J. Lenihan, Javid J. Moslehi, Brenda Moura, Sonja S Salinger, Richard Stephens, Thomas Suter, Sebastian Szmit, Juan Tamargo, Paaladinesh Thavendiranathan, Carlo G. Tocchetti, Peter van der Meer, Helena J. H. van der Pal, Patrizio Lancellotti, Franck Thuny, Magdy Abdelhamid, Victor Aboyans, Berthe M.P. Aleman, Joachim Alexandre, Ana Barac, Michael A. Borger, Rubén Casado-Arroyo, Jennifer Cautela, Maja Čikeš, Alain Cohen‐Solal, Kreena Dhiman, Stéphane Éderhy, Thor Edvardsen, Laurent Fauchier, Michael G. Fradley, Julia Grapsa, Sigrun Halvorsen, Michael Heuser, Marc Humbert, Tiny Jaarsma, Thomas Kahan, А. О. Конради, Konstantinos C. Koskinas, Dipak Kotecha, Bonnie Ky, Ulf Landmesser, Basil S. Lewis, Aleš Linhart, Gregory Y.H. Lip, Maja Lisa Løchen, Katarzyna Małaczyńska-Rajpold, Marco Metra, Richard Mindham, Marie Moonen, Tomas G. Neilan, Jens Cosedis Nielsen, Anna Sonia Petronio, Eva Prescott, Amina Rakisheva, Joe‐Elie Salem, Gianluigi Savarese, Marta Sitges, Jurriën M. ten Berg, Rhian M. Touyz, Agnieszka Tycińska, Matthias Wilhelm, José Luis Zamorano, Nadia Laredj, Parounak Zelveian, Peter P. Rainer, Fuad Samadov, Uladzimir Andrushchuk, Bernhard Gerber, Mirsad Selimović, Elena Kinova, Jure Samardžić, Evagoras Economides, Radek Pudil, Tarek A Kafafy, Riina Vettus, Suvi Tuohinen, Zurab Pagava, Tienush Rassaf, Αlexandros Briasoulis, Dániel Czuriga, Karl Andersen, Yvonne Smyth, Zaza Iakobishvili, Iris Parrini, Edita Pllana Pruthi, Erkin М Мirrakhimov, Oskars Kalējs, Hadi Skouri, Hisham Benlamin, Diana Žaliaduonytė, Alessandra Iovino, Alice M Moore, Daniela Bursacovschi, Aatif Benyass, Olivier C. Manintveld, Marijan Bosevski, Geeta Gulati, Przemysław Leszek, Manuela Fiúza, Ruxandra Jurcuţ, Yury Vasyuk, Marina Foscoli, Dragan Šimić, Miroslav Slanina, Luka Lipar, Ana Martín‐Garcia, Laila Hűbbert, Reto Kurmann, Ahmad Alayed, Leïla Abid, Cafer Zorkun, E. G. Nesukay, Charlotte Manisty, Nigora Srojidinova

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2022
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsUken (Canada)
FundersCancer Research UK
KeywordsMedicineInternal medicineOncologyHematologyGynecologic oncologyMedical physics

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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)0.010
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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0110.009

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 head0.035
GPT teacher head0.308
Teacher spread0.273 · 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 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

Citations491
Published2022
Admission routes1
Has abstractyes

Explore more

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