Quintessence scalar field model in Weyl-type <i>f</i>(<i>Q, T</i>) gravity with <i>w<sub>D</sub></i> – <i>w′<sub>D</sub></i> analysis
Bibliographic record
Abstract
In the present study, we explore the dynamical characteristics of the quintessence cosmological model in Weyl-type f( Q, T) gravity. Here, T represents the trace of the matter energy–momentum tensor, and Q symbolizes the non-metricity tensor. We propose a solution to the field equation using the specific parametrization in the form q = β z(1 + z) −1 + α, which depicts the necessary transition of cosmos from decelerating era to the current accelerating scenario. The values of model parameters are estimated as H 0 = 69.8 ± 1.2, α = −0.64 ± 0.027, and β = 1.549 ± 0.079 using the Markov Chain Monte Carlo analysis and limiting the model with a joint dataset of Pantheon, baryon acoustic oscillation, and cosmic chronometer. We discuss the cosmic behavior of many features of the derived model like EoS parameters, energy density, and cosmic pressure. Further, we have also explored the cosmological behavior of the quintessence model in Weyl f( Q, T) gravity. We have described the cosmic behavior of the model by [Formula: see text] analysis. The diagnosis of the model is also performed using statefinders and jerk parameters. In the end, we have discussed the energy conditions for the proposed model.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".