A decimal-to-decimal antilogarithmic converter
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Bibliographic record
Abstract
This paper presents a novel design and implementation of a 7-digit fixed-point decimal-to-decimal antilogarithmic converter. A linear approximation algorithm is proposed and simulated in MATLAB models. The maximum absolute error of the proposed decimal antilogarithmic converter is in the range of -0.000999 les E <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">absolute</sub> les 0.000857 and the maximum percent error is in the range of -0.000715 les E <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">percent</sub> les 0.000691. The proposed decimal-to-decimal antilogarithmic converter is modeled in VHDL and implemented using a Xilinx Virtex-II Pro P30 FPGA device. The converter is implemented using combinational logic only and it computes decimal antilogarithms results in a single clock cycle, running at 53.1 MHz.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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