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Record W3036022111 · doi:10.1089/thy.2020.0495

Response to Miyauchi <i>et al.</i> re: “A Prospective Mixed-Methods Study of Decision Making on Surgery or Active Surveillance for Low-Risk Papillary Thyroid Cancer”

2020· letter· en· W3036022111 on OpenAlexaff
Anna M. Sawka, Nancy N. Baxter, Amiram Gafni, Shereen Ezzat, David P. Goldstein, Sangeet Ghai, Tom Yoannidis, Lorne Rotstein, Patrick Gullane, Ralph Gilbert, Jesse D. Pasternak, Dale Brown, Antoine Eskander, John R. de Almeida, Jonathan C. Irish, Kevin Higgins, Danny Enepekides, Eric Monteiro, Avik Banerjee, Manish D. Shah, Everton Gooden, Afshan Zahedi, Mark Korman, Jennifer M. Jones, Valeria E. Rac, George Tomlinson, Aleksandra Stanimirovic

Bibliographic record

VenueThyroid · 2020
Typeletter
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsPrincess Margaret Cancer CentreHamilton Health SciencesUniversity Health Network
Fundersnot available
KeywordsMedicinePapillary thyroid cancerThyroid cancerCancerInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.006
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 head0.141
GPT teacher head0.477
Teacher spread0.336 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2020
Admission routes1
Has abstractno

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