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
This research uses the PVSyst software which can plan an off-grid SPP system and find out how much electricity is generated in the Auditorium Building Campus 2, Ujung Pandang State Polytechnic. PVSyst is a software package that is used for the learning process, sizing, and data analysis of the PV mini-grid system. PVSyst is divided into grid connected systems, standalone systems, pumping systems. PVSyst is also equipped with a database from a wide and diverse range of meteorological data sources, as well as data on PV mini-grid components. In planning a PVSyst-based solar power plant, it can be used to find out how much electrical energy is generated to meet the electricity needs of the Campus 2 Auditorium Building, Ujung Pandang State Polytechnic. In this study using the PVSyst software according to the proposed load requires an average energy of 482 kWh/day, therefore, the panel module used is the polycrystalline type model CS3W-410P-HE manufacturer Canadian Solar Inc, where each panel unit used has a nominal power of 410 WP requires 422 modules, 2 modules in series and 211 modules in parallel. The battery used is a lead acid type with a 12-CS-11PS model manufactured from Rolls. The batteries used are 195 batteries, of which 3 batteries are installed in series and 64 batteries are installed in parallel. The controllers needed in this design are 50 units with the FLEXmax 80-36V model manufactured from Outback. The technology of this controller is an MPPT converter. In planning Solar Power Plant using PVSyst in the Auditorium Building Campus 2 of Ujung Pandang State Polytechnic, it produces electricity of 227,122 kWh per year.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it