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Record W4254642512 · doi:10.1055/s-0038-1675417

Erratum to: Prothrombin Complex Concentrate for Major Bleeding on Factor Xa Inhibitors: A Prospective Cohort Study

2018· erratum· en· W4254642512 on OpenAlexaff
Sam Schulman, Peter L. Gross, Bruce Ritchie, Susan Nahirniak, Yulia Lin, Lani Lieberman, Marc Carrier, Mark Crowther, Indy Ghosh, Alejandro Lazo‐Langner, Michelle Zondag

Bibliographic record

VenueThrombosis and Haemostasis · 2018
Typeerratum
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsWestern UniversityOttawa HospitalHealth Sciences CentreSunnybrook Health Science CentreUniversity of AlbertaUniversity Health NetworkUniversity of TorontoMcMaster UniversityUniversity of OttawaThrombosis and Atherosclerosis Research Institute
Fundersnot available
KeywordsProthrombin complex concentrateMedicineProspective cohort studyPROTHROMBIN COMPLEXCohort studyInternal medicineGastroenterologyWarfarinCoagulation

Abstract

fetched live from OpenAlex

Correction to: Prothrombin Complex Concentrate for Major Bleeding on Factor Xa Inhibitors: A Prospective Cohort Study Thromb Haemost 2018; 118(05): 842-851 DOI: 10.1055/s-0038-1636541 In the Original Article by Schulman et al. “ Prothrombin Complex Concentrate for Major Bleeding on Factor Xa Inhibitors: A Prospective Cohort Study ” (Thromb Haemost 2018;118:842–851 ) after publication of the article it has come to the corresponding author's attention that the author affiliations were mixed up. The amended author affiliations are as above.

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)0.004
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.043
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0420.017

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 head0.087
GPT teacher head0.354
Teacher spread0.267 · 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 designObservational
Domainnot available
GenreOther

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

Citations15
Published2018
Admission routes1
Has abstractyes

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