Bibliographic record
Abstract
On this 136th episode of the Root Simple podcast we talk to author and gardening expert Robert Pavlis about how to improve your soil, how to start seedlings in the winter, how to take care of houseplants and much more. Robert Pavlis lives on 6 acres of land that he has developed into a large private garden he calls Aspen Grove Gardens that contains around 3,000 perennials, grasses, shrubs and trees in southern Ontario, Canada. He is a Master Gardener, speaker and author on gardening subjects with a background in chemistry and biochemistry. Normally I go over questions with guests before we begin but Robert and I just started talking so we’ll join the conversation mid-stream as Robert is telling me about his upcoming book Soil Science for Gardeners . During the podcast we talk about: Soil science for home gardeners The problems with soil tests Soil prep for native plants Fungi inoculation products How to open up compacted soil Sources for organic material Ugh, landscape fabric Cardboard in the garden Hügelkultur Winter sowing Baggie technique LED lights How to water houseplants You can find Robert at: GardenFundamentals.com , GardenMyths.com on YouTube and via the Garden Fundamentals Facebook Group . Also– subscribe to Bike Talk!
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.868 | 0.102 |
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; both teacher heads agree on what is shown here.
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".