Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Android operating system introduces new releases frequently. This fact led to the existence of several Android Application Programming Interfaces (APIs) which is one of the causes of the Android fragmentation phenomenon. As a consequence of fragmentation, many apps became not ready for new Android releases. Aiming at investigation of the readiness of Android apps, we developed a software repository mining tool to understand how ready apps are (and were) for Android releases. The tool tracks the changes of Android projects properties over time, contributing for a deeper analysis through collecting data since the beginning of the projects. It allows researchers to examine when exactly Android properties were changed, how many times they were changed, as well as all their values along time. This mechanism can support researchers to understand the evolution of Android projects and to answer research questions. In addition, developers can use the tool to track their apps evolution and perform comparisons and analysis with other open source apps. The tool can help developers to have a broader view of their apps evolution as well as to analyze competitor apps evolution.
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.
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) | 0.000 | 0.001 |
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 it