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Record W4405102475 · doi:10.1002/9781683674849.mcm0025

General Approaches to the Identification of Aerobic Gram‐Positive Rods

2023· other· en· W4405102475 on OpenAlexaff
Kathryn Bernard

Bibliographic record

VenueClinMicroNow · 2023
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Identification and Susceptibility Testing
Canadian institutionsCanadian Science Centre for Human and Animal HealthUniversity of ManitobaPublic Health Agency of Canada
Fundersnot available
KeywordsGramIdentification (biology)BiologyEcologyBacteriaPaleontology

Abstract

fetched live from OpenAlex

Abstract All strains of Gram‐positive rods can be grown on blood agar plates, with specific descriptions of growth requirements. Gram‐positive organisms demonstrating “regular” rods are those cells with usually parallel longitudinal edges. “Irregular” rods are those organisms with cells observed to have curved or coccoidal longitudinal edges which are not parallel; these taxa can produce yellowish‐pigmented, yellow‐pigmented, or orange‐pigmented colonies. Molecular methods may be required for definitive identification to genus and species level for bacteria which are poorly reactive biochemically and/or are under represented or absent from databases of commercial matrix‐assisted laser desorption ionization–time‐of‐flight mass spectrometry (MALDI‐TOF MS) systems. MALDI‐TOF MS technology is widely used in clinical microbiology, because that method has been found to provide rapid, cost‐effective, and accurate identifications of both common and rare pathogens.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0350.056

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 head0.062
GPT teacher head0.279
Teacher spread0.217 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2023
Admission routes1
Has abstractyes

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