Bibliographic record
Abstract
Historically, communications engineers have dealt with electromagnetic forms of communication: in wireline communication, electric fields move currents down a wire; in wireless communication, electromagnetic waves in the radio-frequency spectrum propagate through free space; in fiber-optic communication, electromagnetic radiation in the visible spectrum passes through glass fibers. However, this book is concerned with an entirely different form of communication: molecular communication , in which messages are carried in patterns of molecules. As we shall see in this book, molecular communication systems come in many forms. For example, message-bearing molecules may propagate through a liquid medium via simple Brownian motion, or they may be carried by molecular motors; the message may be conveyed in the number and timing of indistinct molecules, or the message may be inscribed directly on the molecule (like DNA); the nanoscale properties of individual molecules may be important, or only their macroscale properties (like concentration). Molecular communication is literally all around us: it is the primary method of communication among microorganisms, including the cells in the human body. In spite of its importance, only in the past decade has molecular communication been studied in the engineering literature. In writing this book, our goal is to introduce molecular communication to the wider community of communications engineers, and collect all the current knowledge in the field into a single reference for the sake of researchers who want to break into this exciting field.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.412 | 0.284 |
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".