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Record W2998271516 · doi:10.36959/739/520

Papillary Carcinoma of the Male Breast: A Case Series

2017· article· en· W2998271516 on OpenAlexfundno aff
Yee Caitlin, Wan Bo Angela, Leah Drost, Justin Lee, Ganesh Vithusha, Akanksha Kulshreshtha, Danny Vesprini, Chow Edward

Bibliographic record

VenueAnnals of Breast Cancer and Therapy · 2017
Typearticle
Languageen
FieldMedicine
TopicMale Breast Health Studies
Canadian institutionsnot available
FundersJoey and Mary Furfari Cancer Research FundMichael and Karyn Goldstein Cancer Research Fund
KeywordsPapillary carcinomaBreast cancerMedicineCarcinomaDuctal carcinomaMale breast cancerOncologyBreast carcinomaCarcinoma in situCancerInvasive ductal carcinomaInternal medicinePathology

Abstract

fetched live from OpenAlex

Papillary carcinoma and papillary carcinoma in situ refer to histological groups of invasive and pre-invasive breast cancers. Although papillary carcinoma of the breast is very rare overall, it appears a relatively more common subtype within diagnoses of male breast cancer compared to diagnoses within female breast cancer. Epidemiological data suggest that survival of papillary carcinoma may be better compared to the most common form of breast cancer, invasive ductal carcinoma.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.725

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 head0.061
GPT teacher head0.357
Teacher spread0.296 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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