MétaCan
Menu
Back to cohort
Record W2981655328 · doi:10.1016/j.bioflm.2019.100010

Minimum information guideline for spectrophotometric and fluorometric methods to assess biofilm formation in microplates

2019· article· en· W2981655328 on OpenAlexaff
Jontana Allkja, Thomas Bjarnsholt, Tom Coenye, Paul Cos, Adyary Fallarero, Joe J. Harrison, Susana Patrícia Lopes, Antonio Oliver, Maria Olívia Pereira, Gordon Ramage, Mark E. Shirtliff, Paul Stoodley, Jeremy S. Webb, Sebastian A. J. Zaat, Darla M. Goeres, Nuno F. Azevedo

Bibliographic record

VenueBiofilm · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial biofilms and quorum sensing
Canadian institutionsUniversity of Calgary
FundersFundação para a Ciência e a TecnologiaEuropean Regional Development FundHorizon 2020 Framework ProgrammeMinistério da Ciência, Tecnologia e Ensino SuperiorEuropean CommissionNational Biofilms Innovation CentreBiotechnology and Biological Sciences Research CouncilHorizon 2020Montana State University
KeywordsGuidelineBiofilmReproducibilityComputer scienceBiochemical engineeringMedicineChemistryChromatographyEngineeringPathologyBiology

Abstract

fetched live from OpenAlex

The lack of reproducibility of published studies is one of the major issues facing the scientific community, and the field of biofilm microbiology has been no exception. One effective strategy against this multifaceted problem is the use of minimum information guidelines. This strategy provides a guide for authors and reviewers on the necessary information that a manuscript should include for the experiments in a study to be clearly interpreted and independently reproduced. As a result of several discussions between international groups working in the area of biofilms, we present a guideline for the spectrophotometric and fluorometric assessment of biofilm formation in microplates. This guideline has been divided into 5 main sections, each presenting a comprehensive set of recommendations. The intention of the minimum information guideline is to improve the quality of scientific communication that will augment interlaboratory reproducibility in biofilm microplate assays.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.229
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.019
GPT teacher head0.306
Teacher spread0.287 · 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 teacher head, 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

Citations101
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBiofilmSame topicBacterial biofilms and quorum sensingFrench-language works237,207