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Record W3008798432 · doi:10.1016/j.ejca.2020.01.008

European interdisciplinary guideline on invasive squamous cell carcinoma of the skin: Part 2. Treatment

2020· article· en· W3008798432 on OpenAlexfundno aff
Alexander Stratigos, Claus Garbe, Clio Dessinioti, Célèste Lebbé, Véronique Bataille, Lars Bastholt, Brigitte Dréno, Maria Concetta Fargnoli, Ana‐Maria Forsea, Cecille Frenard, Catherine Harwood, Axel Hauschild, Christoph Höeller, Lidija Kandolf Sekulović, Roland Kaufmann, Nicole W.J. Kelleners-Smeets, Josep Malvehy, V. del Mármol, Mark R. Middleton, D. Moreno‐Ramírez, Giovanni Pellecani, Ketty Peris, Philippe Saïag, M.H.J. van den Beuken-van Everdingen, Ricardo Vieira, Iris Zalaudek, Alexander M.M. Eggermont, Jean-Jacques Grob

Bibliographic record

VenueEuropean Journal of Cancer · 2020
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsnot available
FundersJanssen CanadaJanssen PharmaceuticalsMerck Sharp and DohmeNeraCareSun PharmaUniversidad de CantabriaZonMwCentro de Investigación Biomédica en Red Enfermedades CardiovascularesVertex PharmaceuticalsMylanRegeneron PharmaceuticalsEisai KoreaAgence Nationale de la RechercheF. Hoffmann-La RocheMillennium Challenge CorporationUniversità Degli Studi di Modena e Reggio EmilaImmunocoreNovartis PharmaAbbVieNovartisCelgenePfizerBiogenArthrex GmbHLEO PharmaLEO Pharma Research FoundationWyethJanssen BiotechLes Laboratories Pierre FabreMeso Scale DiagnosticsSanofiRocheMerckGlaxoSmithKlineAstraZenecaEli Lilly and CompanyLeo Baeck InstituteBristol-Myers SquibbAmgenMeadows FoundationEMD SeronoAlmirallGaldermaBioNTech
KeywordsMedicineCetuximabSystemic therapyRadiation therapyGuidelineOncologyLymph nodeInternal medicineCancerDissection (medical)SurgeryPathologyColorectal cancerBreast cancer

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)0.002
metaresearch head score (Gemma)0.003
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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.011

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 head0.036
GPT teacher head0.294
Teacher spread0.258 · 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

Citations320
Published2020
Admission routes1
Has abstractyes

Explore more

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