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Record W3203206766 · doi:10.1016/j.annonc.2021.08.736

1848P Feasible 3D printed models of renal cell cancer with venous thrombus extension for surgical planning and simulation: Phase I NCT03738488

2021· article· en· W3203206766 on OpenAlexfundno aff
I. Rivero Belenchón, C.B. Congregado Ruíz, Gorka Gómez, V. Gómez Dos Santos, Cristina García, Ignacio Osmán García, J.M. Conde Sánchez, F.J. Burgos Revilla, R.A. Medina López

Bibliographic record

VenueAnnals of Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsnot available
FundersIgnytaEuropean Society for Medical OncologyEisaiMacroGenicsGrifolsActuate TherapeuticsServierTarveda TherapeuticsSierra OncologyIncyteF. Hoffmann-La RocheTaiho PharmaceuticalRegeneron PharmaceuticalsArray BioPharmaSanofiGlaxoSmithKlineAmgenPfizerCentro de Investigación Biomédica en Red de CáncerCarrick TherapeuticsAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicineSurgical planningRenal cell carcinomaRadiologyThrombusRadiological weaponClinical trialRadiation treatment planningCancerSurgeryMedical physicsOncologyInternal medicineRadiation therapy

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 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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0160.003

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 head0.194
GPT teacher head0.439
Teacher spread0.245 · 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 designSimulation or modeling
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
Published2021
Admission routes1
Has abstractno

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