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Record W1601650838

Study of daily tissue changes through breast monitoring with time-domain microwave radar

2015· article· en· W1601650838 on OpenAlexaff
Emily Porter, Riza Kazemi, Adam Santorelli, Milica Popović

Bibliographic record

VenueEuropean Conference on Antennas and Propagation · 2015
Typearticle
Languageen
FieldEngineering
TopicMicrowave Imaging and Scattering Analysis
Canadian institutionsUniversity of British ColumbiaMcGill University
Fundersnot available
KeywordsRadarTime domainBreast tissueMicrowaveRadar trackerMedicineComputer scienceRemote sensingBreast cancerInternal medicineTelecommunicationsGeologyComputer visionCancer
DOInot available

Abstract

fetched live from OpenAlex

The aim of this study is to monitor daily breast tissue content change, as perceived by our time-domain microwave radar system. We here present results obtained by tracking a healthy patient volunteer through daily breast scans over the 28-day timeframe corresponding to one menstrual cycle. Our system uses a multistatic radar approach, contains 16 wideband antennas, and is integrated into a clinical interface. The resulting data confirm that small variations in the breast tissue are evident over the 28-day period, and that, unlike malignant growths, the changes fluctuate (appear and disappear) over several days.

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 score0.238
Threshold uncertainty score0.523

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 head0.033
GPT teacher head0.239
Teacher spread0.206 · 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

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