MétaCan
Menu
Back to cohort
Record W6958428736 · doi:10.6084/m9.figshare.20552173

Additional file 1 of Sorbicillinoids hyperproduction without affecting the cellulosic enzyme production in Trichoderma reesei JNTR5

2022· article· en· W6958428736 on OpenAlexaff

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural pest management studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsTrichoderma reeseiStrain (injury)PigmentEnzymeMicroscopyFluorescence microscopeFungi imperfectiCellulose

Abstract

fetched live from OpenAlex

Additional file 1: Fig. S1 The digital pictures of the T. reesei RUT-C30 and JNTR5 grown on PDA plates for 5 days. Fig. S2 The Copy numbers of gene Tr 69957 in strain JNTR5 (a) and the FPKM values of gene Tr 69957 in strain RUT-C30 and JNTR5 b. Fig. S3 Photographs taken under 302 nm UV light of the yellow pigments produced by strain JNTR5. The samples were obtained by cultivitating JNTR5 at 28 °C for 96 h with glucose as carbon source. Fig. S4 Confocal images of T. reesei RUT-C30 and JNTR5 observed by fluorescence microscopy by 10 X objective lens at Ex/Em = 488/498-563 nm. The samples were obtained by cultivitating RUT-C30 and JNTR5 at 28 °C for 48 h with glucose as carbon source. Fig. S5 The cellulase/hemicellulase activities of JNTR5. Error bars indicate SDs from three independently cultured replicates. Table S1 Primers used in this study

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)0.001
metaresearch head score (Gemma)0.008
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.834
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8340.196

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 head0.027
GPT teacher head0.200
Teacher spread0.172 · 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
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFigshareSame topicAgricultural pest management studiesFrench-language works237,207