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Record W4390282880 · doi:10.5114/fmpcr.2023.132616

Potential of use of modern information technology solutionsin the work of hospital infection control team, includingantibiotic therapy optimisation, reduction of alert pathogeninfections and vaccination popularisation

2023· article· en· W4390282880 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

VenueFamily Medicine & Primary Care Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Law and Legal System
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVaccinationPathogenInfection controlModern medicineIntensive care medicineImmunology

Abstract

fetched live from OpenAlex

AMA Susło R, Paplicki M, Drobnik J, Klakočar J, Godziński J. Potential of use of modern information technology solutions in the work of hospital infection control team, including antibiotic therapy optimisation, reduction of alert pathogen infections and vaccination popularisation. Family Medicine & Primary Care Review. 2023;25(4):427-435. doi:10.5114/fmpcr.2023.132616. APA Susło, R., Paplicki, M., Drobnik, J., Klakočar, J., & Godziński, J. (2023). Potential of use of modern information technology solutions in the work of hospital infection control team, including antibiotic therapy optimisation, reduction of alert pathogen infections and vaccination popularisation. Family Medicine & Primary Care Review, 25(4), 427-435. https://doi.org/10.5114/fmpcr.2023.132616 Chicago Susło, Robert, Mateusz Paplicki, Jarosław Drobnik, Jacek Klakočar, and Jan Godziński. 2023. "Potential of use of modern information technology solutions in the work of hospital infection control team, including antibiotic therapy optimisation, reduction of alert pathogen infections and vaccination popularisation". Family Medicine & Primary Care Review 25 (4): 427-435. doi:10.5114/fmpcr.2023.132616. Harvard Susło, R., Paplicki, M., Drobnik, J., Klakočar, J., and Godziński, J. (2023). Potential of use of modern information technology solutions in the work of hospital infection control team, including antibiotic therapy optimisation, reduction of alert pathogen infections and vaccination popularisation. Family Medicine & Primary Care Review, 25(4), pp.427-435. https://doi.org/10.5114/fmpcr.2023.132616 MLA Susło, Robert et al. "Potential of use of modern information technology solutions in the work of hospital infection control team, including antibiotic therapy optimisation, reduction of alert pathogen infections and vaccination popularisation." Family Medicine & Primary Care Review, vol. 25, no. 4, 2023, pp. 427-435. doi:10.5114/fmpcr.2023.132616. Vancouver Susło R, Paplicki M, Drobnik J, Klakočar J, Godziński J. Potential of use of modern information technology solutions in the work of hospital infection control team, including antibiotic therapy optimisation, reduction of alert pathogen infections and vaccination popularisation. Family Medicine & Primary Care Review. 2023;25(4):427-435. doi:10.5114/fmpcr.2023.132616.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.291
Teacher spread0.264 · 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