Measurements on monocrystalline CuInSe/sub 2/ cells
Bibliographic record
Abstract
A series of measurements has been made on a number of photovoltaic cells fabricated with the layer structure Au-CuInSe/sub 2/-CdS-ZnO-In, where the CuInSe/sub 2/ consisted of a wafer of p-type monocrystalline material cut from an ingot grown by a vertical Bridgman method. A plot of conversion efficiency (/spl eta/) and short circuit current density (j/sub SC/) against cell series resistance (R/sub AS/), obtained from dark current-voltage characteristics, indicated a general increase of /spl eta/ and j/sub SC/ with decrease of R/sub AS/. The measurements also showed a general increase of j/sub SC/ with increase of the apparent hole concentration, p/sub MS/, obtained from Mott-Schottky plot slopes. Minority diffusion length estimates, obtained by the photo-current-capacitance method, were found to decrease with increase of p/sub MS/. As a result, surprisingly, diffusion lengths were smaller in the better performance cells. The best monocrystalline CuInSe/sub 2/ cell had an original total area efficiency of 11.4% (or 12.5 %, active area), without an A.R. coating.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".