MétaCan
Menu
Back to cohort
Record W2430140446 · doi:10.1515/plm-2015-0015

In-vitro efficacy of indocyanine green-mediated photodynamic therapy in combination with cisplatin or etoposide

2015· article· en· W2430140446 on OpenAlexaff
Kamola Kasimova, Lothar Lilge, Brian C. Wilson

Bibliographic record

VenuePhotonics and Lasers in Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsPhotodynamic therapyIndocyanine greenMedicineCisplatinToxicityEtoposideChemotherapyOncologyCancer researchInternal medicinePharmacologyChemistryPathology

Abstract

fetched live from OpenAlex

Abstract: Localizing the cytotoxic effects of cancer therapies to only affect the tumor cells is a goal in oncology, to maximize efficacy and minimize treatment-related morbidities. Most effective chemotherapeutic drugs have significant side effects due to off-target toxicity. By comparison, photodynamic therapy (PDT) is a localized therapy without significant systemic toxicity but may have limited efficacy. Hence, combining PDT with chemotherapy was investigated to determine if the anti-tumor effect of the latter could be enhanced. PDT using indocyanine green (ICG), activated by near-infrared light, was investigated in lung tumor cells

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.323
Teacher spread0.297 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

Same venuePhotonics and Lasers in MedicineSame topicPhotodynamic Therapy Research StudiesFrench-language works237,207