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Additional file 5 of Analysis of early childhood intestinal microbial dynamics in a continuous-flow bioreactor

2024· article· en· W6977000334 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of TorontoUniversity of GuelphSickKids FoundationHospital for Sick Children
Fundersnot available
Keywords16S ribosomal RNAPhylogenetic treeAxenicAccession number (library science)Ribosomal RNAMetagenomicsGeneBacteria

Abstract

fetched live from OpenAlex

Supplementary Material 5: Figure 4. A library of early childhood gut bacterial isolates. Bacterial strains from the fecal-derived chemostat community of NS0 or NS1 individuals were isolated by axenic culture using a variety of media formulations (Suppl. Table 2 ). 80 unique bacterial strains were archived, constituting a library of NS0 sample (Suppl. Table 14 ), and 118 unique bacterial strains were archived, constituting a library of NS1 sample (Suppl. Table 15). (a) Phylogenetic tree of all gut bacterial isolates (species-level) identified by 16S rRNA gene sequencing of NS0 and NS1 libraries. Colored squares indicate phylum. (b) The relative abundance distribution of each isolate species in the fecal samples of CHILD cohort infants at 12 months old is shown (n=842 samples). 16S rRNA gene sequencing dataset from CHILD cohort was obtained at the Sequence Read Archive of NCBI via accession number PRJNA657821.

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)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.7990.206

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 head0.008
GPT teacher head0.229
Teacher spread0.221 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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