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Record W2802749846 · doi:10.1002/ptr.6087

Phytotherapeutics in cancer invasion and metastasis

2018· review· en· W2802749846 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

VenuePhytotherapy Research · 2018
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhytochemical compounds biological activities
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsMetastasisCancerAngiogenesisDrug discoveryCarcinogenesisComputational biologyMedicineDiseaseBiologyCancer researchBioinformaticsInternal medicine

Abstract

fetched live from OpenAlex

Cancer is a multifactorial disease, and therefore, a multitarget approach is needed to face the complex cancer biology, based on the combined use of different natural and synthetic anticancer agents able to target synergistically multiple signaling pathways involved in carcinogenesis, including angiogenesis and metastasis. In this view, the plant kingdom represents an unlimited source of phytotherapeutics with promising perspectives in the field of anticancer drug discovery. This narrative review aims to provide an updated overview on the bioactive phytochemicals exhibiting a promising potential as adjuvants in conventional anticancer therapies, with emphasis on antiangiogenic and antimetastatic activities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.351
GPT teacher head0.512
Teacher spread0.161 · 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