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Record W4245983079 · doi:10.1177/2049936117731199

Corrigendum

2017· erratum· en· W4245983079 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTherapeutic Advances in Infectious Disease · 2017
Typeerratum
Languageen
FieldHealth Professions
TopicPediatric health and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePneumoniaMicrobiologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Das B, Sarkar C, Das D et al. Telavancin: a novel semisynthetic lipoglycopeptide agent to counter the challenge of resistant Gram-positive pathogens. Ther Adv Infect Dis. 2017 Mar; 4(2): 49–73. DOI: 10.1177/2049936117690501 The authors wish to highlight the following corrections, which should have appeared in the original text: 1. Page 49, Abstract, lines 4–5: Telavancin is approved for hospital-acquired and ventilator-associated bacterial pneumonia (HABP/VABP) in the United States when alternative treatments are not available. In Russia and Canada, telavancin is approved for both complicated skin and skin-structure infections (cSSSI) and HABP/VABP. 2. Page 50, right panel, para 2, lines 15–18: Revised per telavancin label based on latest PI and EMA (also pasted below). In the United States, telavancin is approved in adults for the treatment of cSSSI due to susceptible Gram-positive pathogens. In addition, telavancin is approved for HABP/VABP when alternative treatments are not suitable. In Canada and Russia, telavancin is approved for Gram-positive pathogens for the treatment of patients with cSSSI and HABP/VABP. In the European Union, telavancin is approved for the treatment of nosocomial pneumonia, known or believed to be caused by methicillin-resistant Staphylococcus aureus (MRSA) when other alternative medicines are unsuitable. 3. Page 51, right panel, para 1, lines 1–6: Per the latest (2016) telavancin PI, HABP/VABP indication for telavancin should be included. 4. Page 51, Figure 1 caption: The hydrophilic nature of telavancin contributes to its half-life. 5. Page 53, left panel, para “In vitro activity”, lines 5–8: As per the following (newer) article, which states that “Telavancin MIC is 16-32 fold lower than vancomycin against MRSA.” Mendes RE, Flamm RK, Farrell DJ, et al. Telavancin activity tested against Gram-positive clinical isolates from European, Russian and Israeli hospitals (2011–2013) using a revised broth microdilution testing method: redefining the baseline activity of telavancin. J Chemother 2015; 28: 83–88. DOI: 10.1179/1973947815Y.0000000050 6. Page 53, right panel, para 1, lines 11–16: Per the Mendes et al. (2015) article listed above, telavancin minimum inhibitory concentration (MIC) is 16- to 32-fold lower than vancomycin against MRSA. 7. Page 54, Table 1: These MIC values were estimated using old methods. Revise the MIC values based on the references for new MIC methods (see below). Farrell DJ, Mendes RE, Rhomberg PR, et al. Revised reference broth microdilution method for testing telavancin: effect on MIC results and correlation with other testing methodologies. Antimicrob Agents Chemother 2014; 58(9): 5547–5551. DOI: 10.1128/AAC.03172-14 8. Page 61, right panel, para “ATTAIN trials (ATTAIN 1 and 2)”, lines 9–12: The ATTAIN trials did not include patients with “healthcare-associated pneumonia,” therefore, any mention of this is not correct.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.056
GPT teacher head0.433
Teacher spread0.377 · 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