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Record W2803149877 · doi:10.6004/jnccn.2018.0046

Targeted Therapy for Patients With Metastatic Non–Small Cell Lung Cancer

2018· article· en· W2803149877 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the National Comprehensive Cancer Network · 2018
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsSeagen (Canada)
FundersAriad Pharmaceuticals
KeywordsMedicineAlectinibOsimertinibROS1Targeted therapyLung cancerOncologyAnaplastic lymphoma kinaseErlotinibCeritinibInternal medicineTyrosine-kinase inhibitorTyrosine kinaseCancer researchCancerEpidermal growth factor receptorAdenocarcinomaReceptor

Abstract

fetched live from OpenAlex

<section class="abstract"><p id="P1">Molecular testing is recommended for initial diagnosis in patients with non–small cell lung cancer (NSCLC), according to the updated NCCN Guidelines, because targeted therapies are available that can improve patient outcomes. Targeted therapies are currently approved for <em>EGFR</em> mutations, <em>ALK</em> and <em>ROS1</em> gene rearrangements, and <em>BRAF</em> mutations, with the list of emerging “actionable” targets growing. The 2018 NCCN Guidelines for NSCLC incorporate new therapies, including the EGFR tyrosine kinase inhibitor osimertinib and the ALK inhibitor alectinib, as first-line preferences. </section>

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.025
GPT teacher head0.339
Teacher spread0.314 · 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