Compact/Fastest A4 Monochrome LED Printers in class: B400 Series
Bibliographic record
Abstract
During the one-year period, beginning third quarter fiscal 2008 and ending second quarter fiscal 2009, the printer market saw a decline in shipments as it fell under the influence of economic downturn caused by the Lehman Shock. Among the largest drops were with low-cost machines, but there has been a trend toward recovery since third quarter fiscal 2009. Despite the situation, the Desktop (DT) and Small Work Group (SMB) segments, which OKI Data is focused, are relatively stable and market share has been maintained. This market is expected to remain stable in the future. However, between fourth quarter fiscal 2008 and first quarter fiscal 2009, competitors have introduced new products to this segment heating up the competition. In the DT and SMB segments, our product specifications have been quick to respond to market demand, and we have strong distribution channels. To further meet the segments’ customer requirements, we developed the small and high-speed monochrome LED printers B431dn/B411dn (Photo1).
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.070 | 0.020 |
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".