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Record W2920044032 · doi:10.1007/s00167-019-05494-3

Correction to: Clinical and radiographic predictors of failed hip arthroscopy in the management of dysplasia: a systematic review and proposal for classification

2019· review· en· W2920044032 on OpenAlexaff
Ajay Shah, Jeffrey Kay, Muzammil Memon, Nicole Simunovic, Soshi Uchida, Nicolas Bonin, Olufemi R. Ayeni

Bibliographic record

VenueKnee Surgery Sports Traumatology Arthroscopy · 2019
Typereview
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsImpactMcMaster University Medical CentreMcMaster University
Fundersnot available
KeywordsDysplasiaMedicineMedical physicsRadiographyGeneral surgeryComputer scienceRadiologyPathology

Abstract

fetched live from OpenAlex

Unfortunately, the author name was incorrectly published in the original publication as Sochi Uchida insted of Soshi Uchida. The author name is corrected here by this Erratum. The ​original ​article ​has ​been ​corrected.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.275
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.275
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0140.016
Science and technology studies0.0020.002
Scholarly communication0.0060.005
Open science0.0040.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0490.012

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 head0.049
GPT teacher head0.360
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations13
Published2019
Admission routes1
Has abstractyes

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