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Record W2162086641 · doi:10.1139/w06-082

Chitinolytic bacteria in the intestinal tract of Japanese coastal fishes

2006· article· en· W2162086641 on OpenAlexvenueno aff
Shiro Itoi, Toshihiro Okamura, Yuki Koyama, Haruo Sugita

Bibliographic record

VenueCanadian Journal of Microbiology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicStudies on Chitinases and Chitosanases
Canadian institutionsnot available
Fundersnot available
KeywordsBacteriaBiology16S ribosomal RNAMicrobiologyChitinVibrionaceaeAeromonasGenBankGeneBiochemistryGenetics

Abstract

fetched live from OpenAlex

Intestinal bacteria from several coastal fish species were screened on 1/20 PYBG medium containing 0.2% colloidal chitin, and 361 bacteria capable of decomposing colloidal chitin were isolated. These isolates were subsequently screened on media containing either 0.5% alpha-chitin or 0.5% beta-chitin resulting in the identification of 31 alpha-chitinolytic and 275 beta-chitinolytic bacterial isolates. Partial 16S rRNA gene sequencing was carried out and homology searches of the resultant sequences against the DDBJ, EMBL, and GenBank databases revealed that the majority (99%) of the chitinolytic bacteria isolated belonged to the Vibrionaceae. Phylogenetic analysis using a Bayesian approach showed that the alpha-chitinolytic bacteria belonging to the Vibrionaceae formed a separate cluster from the non-alpha-chitinolytic bacteria in the Vibrionaceae.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.204
Teacher spread0.196 · 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 designObservational
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

Citations59
Published2006
Admission routes1
Has abstractyes

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