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Record W4214546580 · doi:10.1063/1.2405537

New Books

2006· article· en· W4214546580 on OpenAlexaboutno aff

Bibliographic record

VenuePhysics Today · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials science

Abstract

fetched live from OpenAlex

ers that not so long ago the output was in the form of an analog voltage or current signal directed to a display, such as a moving-coil meter, potentiometric recorder, oscillographic recorder, or oscilloscope.With the addition of the necessary output interfaces, researchers progressed to recording on punch cards, punch-paper tape, and magnetic tape.Then a significant change occurred: The microprocessor chip was introduced as a manager, or controller, of the system-an innovation that also enabled the processing, analyzing, and storing of the acquired data.To exploit the advantages of what has now become a computerbased measurement system, users must choose among the many available I/O bus systems, all of which initially faced the problem of adhering to protocols that equipment manufacturers and their customers had agreed upon.To provide guidance for users, the author then discusses how information may be transmitted.He delineates two types of transmission systems: serial or bit-by-bit and parallel, in which the information is transmitted in the form of multibit words.Nawrocki first logically and clearly presents a wealth of information on serial systems, beginning with the RS-232C.When installed in a PC, that serial interface can lead to a simple measurement system involving one digital instrument and one computer.However, the system has a serious transmission-rate limitation, the extent of which depends on the length of the transmission line.The now-popular USB (universal serial bus) allows a significantly increased rate and a new method of attaching and accessing peripheral devices.The author then describes the RS-449 and RS-530 serial systems, with their electrical-circuit parameters defined in the RS-223A, RS-422A, and RS-485 standards.Nawrocki then turns to parallel interfaces, beginning with the most widely used IEEE-488, which is also known under the generic name of GPIB (general purpose interface bus).It offers much higher data rates than does serial data transfer and allows an instrument to operate either in interface systems or autonomously.The VXI system is used for setting up modular systems.Its designers were challenged to find a solution to the system control problem, one that could use software developed for IEEE-488.The reader will also find material on wireless measurement systems; other crate and modular systems, such as CAMAC and PXI; and the IEEE-1284

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.678
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0090.008
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6780.634

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.

Opus teacher head0.006
GPT teacher head0.196
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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