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Record W4289537292 · doi:10.1063/5.0082672

Dynamics of a stage–structure Leslie–Gower model with Michaelis–Menten type harvesting

2022· article· en· W4289537292 on OpenAlexaff
Lazarus Kalvein Beay, Maryone Saija

Bibliographic record

VenueAIP conference proceedings · 2022
Typearticle
Languageen
FieldMedicine
TopicMathematical and Theoretical Epidemiology and Ecology Models
Canadian institutionsNorthern Teacher Education Program
Fundersnot available
KeywordsPredationPopulationExtinction (optical mineralogy)PredatorEcologyControl theory (sociology)MathematicsApplied mathematicsBiologyComputer scienceDemographyArtificial intelligence

Abstract

fetched live from OpenAlex

A modified Leslie–Gower predator–prey model with stage–structure and Michaelis–Menten type harvesting in prey is proposed and studied in this work. Here, the population is divided into three sub–populations namely immature prey and mature prey as well as predator. We assume that the predator only consumes immature prey. In addition, the harvesting process only considered in the immature prey population. We investigated the existence of all possible equilibrium states of the system and discuss the stability of equilibrium state. The results has been shown that by the change of parameters, all population could eventually coexist, become extinct, or predator population will be driven to extinction and the prey population will coexist, or else the prey to extinction and the predator will exist. Furthermore, the harvesting process in the immature prey have an impact on the dynamical behaviour of system. Numerical simulations are presented to confirm the analytical results.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.033
GPT teacher head0.273
Teacher spread0.240 · 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.

Study designTheoretical or conceptual
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

Citations2
Published2022
Admission routes1
Has abstractyes

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