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Record W2767619438 · doi:10.1002/cpet.15

<i>Dictyostelium discoideum</i>: A Model System for Cell and Developmental Biology

2017· article· en· W2767619438 on OpenAlexafffund
Sabateeshan Mathavarajah, Ana I. Flores, Robert J. Huber

Bibliographic record

VenueCurrent Protocols Essential Laboratory Techniques · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsTrent University
FundersTrent University
KeywordsDictyostelium discoideumDictyosteliumMulticellular organismBiologyModel organismAmoeba (genus)OrganismCell biologySlime moldEukaryoteChemotaxisCellGeneGenomeGeneticsReceptor

Abstract

fetched live from OpenAlex

Abstract The social amoeba Dictyostelium discoideum has long served as a model system for studying fundamental processes in cell and developmental biology. This eukaryotic microbe is also recognized as a model organism for biomedical and human disease research since the genome encodes homologs of genes linked to human disease, such as those linked to cancer and neurodegeneration. Dictyostelium has a unique life cycle composed of a unicellular growth phase and a multicellular developmental phase that is induced by starvation. During its life cycle, Dictyostelium undergoes conserved cellular processes including, but not limited to, cell proliferation, phagocytosis, intercellular signaling, cell adhesion and motility, chemotaxis, and cell differentiation. The history of the organism, the resources available to researchers in the community, and the diverse ways that Dictyostelium is used in the contemporary research lab are discussed. © 2017 by John Wiley & Sons, Inc.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.022
GPT teacher head0.338
Teacher spread0.317 · 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
GenreMethods

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

Citations31
Published2017
Admission routes2
Has abstractyes

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