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Record W2053650907 · doi:10.2166/wpt.2015.003

Continuous-flow high temperature and pressure water sterilizer

2015· article· en· W2053650907 on OpenAlexaff
Adrian Ponce

Bibliographic record

VenueWater Practice & Technology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicListeria monocytogenes in Food Safety
Canadian institutionsImpact
FundersWorld Health Organization
KeywordsSterilization (economics)SterilityVolumetric flow ratePulp and paper industryEnvironmental scienceBiologyBotanyMechanicsEngineeringBusinessPhysics

Abstract

fetched live from OpenAlex

Water sterilization at sterility assurance levels exceeding 10−6 has been achieved with a novel high temperature and pressure sterilization system (HAPSS) capable of continuous-flow sterilization. The tested sterilizer produces >2,000 L/day and does not require filters, moving parts, or regular maintenance and can operate for multiple years with only water and standard voltage/amperage electricity. Sterility assurance levels were determined using Geobacillus stearothermophilus spores with inactivation experiments as a function of temperature and flow rate (i.e., duration/dosage at given temperature). Sterility of 1.0 × 104 CFU/mL G. stearothermophilus spore suspensions was achieved at the highest water flow rate of 1.4 L/min at 140 and 130 °C. The low cost and maintenance-free operation of HAPSS is envisioned to impact water sterilization needs of developing nations, hospitals, and commercial point of use applications.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.024
GPT teacher head0.283
Teacher spread0.259 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2015
Admission routes1
Has abstractyes

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