Making a paper in a prompt making a first concept in one prompt R-Bloggers

*It was a fairly long prompt

I wanted to see if I could get an AI agent to complete a first version of a paper, including data analysis, looking for references on the internet and writing a complete concept.

I used the ROO code agent software with the Claude Sonnet 4.0 large language model.

I shared the results of Replicate 1 here.

I also stuck the summaries of the two replicas below. Both used identical instructions and settings in ROO code. It is interesting how they are different. The first frame, for example, the study in terms of estimating the scale of human effects. The second is the study as being about studying a mechanism studied under studied.

The experiment started with a project folder with data and detailed instructions for the research question, the data and the analyzes I wanted. The instructions contain details of R-packages and specific statistics, for example I said the model that I had to use Bray-Curtis distances for the multivariate analysis.

I have also given basic instructions for writing the paper. The agent had web search options, so that it could gain access and read real references and then incorporated insights into the newspaper.

It is important to note that this design has not been edited by a person. Parts of them are not scientifically accurate. It should not be read as something other than an experiment. It contains errors and some references are incorrect.

For example, it was the following reference, but it was strange to a real reference (which is different) with the help of a real doi:

Hamilton, Richard J et al. 2025. “Modeling of sediment influences youth driffish.” Frontiers in Marine Science. https://doi.org/10.3389/fmars.2025.1513498.

It has not made much effort to create good instructions for writing a paper. I am sure you could do much better than this with more careful instructions.

AI generated items should never replace human supervision. If you only trust AI, you miss the chance to really understand your subject. Science is about learning, not just producing content.

What these kinds of things can be useful for is a way to repeat alternative options and quickly explore exploring a paper or alternative interpretations.

It can also help you to come across about ‘The Fear of the White Page’ (Writers Block) by giving you something to start editing.

Summary of Replicate 1

Terrestric logging threatens coral reefecosystems through increased sedimentation, but the spatial impact patterns continue to be poorly understood. We investigated the composition of the Benthische community at 49 coral reef locations in a gradient of logging effects in the province of Kia, Solomon Islands, with distances from 0.20 to 22.4 km from logging operations. With the help of multidimensional scale regulation and permutational multivariate variance analysis, we have tested for differences in community structure between logged in and unregistered sites and on distance categories. Benthic communities differed considerably between recorded and unregistered sites (Permanova P = 0.027), with imposed sites that show 14.2% lower coral cover (48.0% versus 62.2%). Distance -dependent effects were very significant (p = 0.002), which explained 11.9% of the community variant. Sites within 1 km of logging showed seriously demolished conditions (31.2% coral cover, 33.3% sand covering), while locations maintained more than 10 km of a high coral coverage (62.9%). Recovery followed a clear gradient: Moderate remote places (1-3 km) had 55.3% coral cover, distant places (3-10 km) had 60.4% coral cover. Categorical distance analysis turned out to be more informative than continuous distance relationships, which indicates threshold effects instead of linear gradients. These findings show that logs extend further than previously documented, with measurable effects at locations 1-3 km from the operations. Our results offer quantitative evidence for setting up buffer zones around coral reefs and emphasize the need for conservation planning on the water scale that integrates terrestrial forest management with a protected area for marine area.

Summary of replicate 2

Coral reef ecosystems are confronted with increasing threats to terrestrial activities, with sedimentation-induced sedimentation that represents an important but investigated impact mechanism. This study investigated the structure of the Benthian community structure at 49 coral reef locations on the Solomon Islands using multidimensional scale regulation (MDS) to test the hypothesis that logging activities influence the composition of the reef community through sedimentation. We have applied non-metal multidimensional scaling to benthic coverage data using both Euclidic and Bray-Curtis distance statistics, with environmental vector adjustment to identify ecological gradients. The analysis revealed strong community gradients that are mainly associated with Coral branching (R² = 0.82) and soft coral coverage (R² = 0.62), while water clearance showed moderate correlation (R² = 0.24) with community structure. In contrast to expectations, the distance to logging showed a weak correlation with community patterns (R² = 0.056, p = 0.101), suggesting that logging effects work by routes that are not recorded by simple closeness measures. The results show the effectiveness of MDS dedication to reveal the structural patterns of the coral community, while the complexity of logging-reef relationships in tropical marine systems is emphasized.

Related