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Record W2918789085 · doi:10.1128/microbe.6.204.1

Reviews and Resources:Antisepsis, Disinfection, and Sterilization: Types, Action, and Resistance

2011· article· en· W2918789085 on OpenAlex
Christian T. K.‐H. Stadtländer

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMicrobe Magazine · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMedical Device Sterilization and Disinfection
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsSterilization (economics)Action (physics)BusinessPhysics

Abstract

fetched live from OpenAlex

Antisepsis, disinfection, and sterilization are crucial tasks to be performed by all kinds of professionals working in settings in which people can be exposed to infectious agents. These settings include, for example, microbiology and public health laboratories, hospitals, the medical device and the pharmaceutical industry, food processing and water treatment plants, and, last but not least, physician, dentist, and veterinarian offices. The ultimate goal is to kill infectious agents or at least inhibit them in order to minimize their destructive effects. Yet, and surprisingly, we often find only fragmented information about the types, actions, and resistance of these methods in a single source. Author Gerald McDonnell recognized this shortcoming and prepared a comprehensive book that provides the reader with “all there is to know” about these important methods of infection prevention and contamination control.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.253
Teacher spread0.218 · 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