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Record W2414918762 · doi:10.1385/0-89603-489-5:263

Identification of Genes Associated with Resistance to Photodynamic Therapy-Mediated Oxidative Stress

2003· article· en· W2414918762 on OpenAlexaboutno aff
Charles J. Gomer, Marian Luna, Angela Ferrario

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhotodynamic therapyPhotosensitizerMedicineOxidative stressEsophagusCancer researchInternal medicineChemistryPhotochemistry

Abstract

fetched live from OpenAlex

Photodynamic therapy (PDT) is an experimental treatment for malignant diseases (,). This procedure involves the systemic administration of a tumor-localizing photosensitizer and subsequent exposure of the malignant lesion to tissue penetrating red light (). Properties of photosensitizer localization in tumor tissue and photochemical generation of reactive oxygen species are combined with precise delivery of laser generated light to produce a procedure offering effective local tumoricidal activity (). Tumors of the bronchus, bladder, esophagus, head and neck, brain and skin are being treated with PDT in clinical trials (). The clinical results are encouraging and PDT recently received FDA approval for the treatment of advanced esophageal carcinoma in the United States. Additional regulatory approval of PDT has been obtained in Canada, the Netherlands, and Japan ().

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.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.718

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 head0.038
GPT teacher head0.309
Teacher spread0.272 · 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 designBench or experimental
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
Published2003
Admission routes1
Has abstractyes

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