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Record W2264404200 · doi:10.1021/acssensors.6b00015

Welcome to <i>ACS Sensors</i>

2016· article· en· W2264404200 on OpenAlexaff
J. Justin Gooding, Shana O. Kelley, Eric Bakker, Yi‐Tao Long, Nongjian Tao, Antonella I. Mazur

Bibliographic record

VenueACS Sensors · 2016
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceMedicine

Abstract

fetched live from OpenAlex

Welcome to ACS Sensors W elcome to ACS Sensors.We are really excited about having a society journal dedicated to all aspects of chemical and biological sensors.We will work tirelessly to help make ACS Sensors the journal many in the community want it to bea journal that not only publishes the very best conceptual and applied advances in sensing, but also represents both the academic and commercial sectors, and publishes reviews and opinion pieces that help advance this exciting and expanding field.To achieve these goals we need your help as authors and referees.As authors, we invite you to submit your best sensor-related work, and as referees, we need you to help make the good papers we receive even better.So, what types of papers are we looking to publish?Well, really any innovative work on sensors that monitor chemical or biological species or processes.These papers could be exciting conceptual advances in sensing, or powerful application papers that use existing sensors in new ways or to provide new knowledge.In all cases, we would ideally like the sensors to be challenged in complex samples, that experimental error analysis is provided, that the analytical information is compared to an established method where possible, and thatabove all else the work is innovative and interesting.We emphasize these points as they are the sorts of elements of a paper we feel are part of most of the best sensing contributions.When it comes to topics related to chemical and biological sensing, we are completely nonprescriptive.We are interested in papers on biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell-based sensors, sensor arrays, and microfluidic devices for sensing.We are also hoping to receive papers on new materials and transducers for sensing that are broadly applicable, new ways of fabricating sensors of commercial relevance, sensor validation, and sensor networks.The types of papers that will allow ACS Sensors to cover such a breadth in sensing will not only be original research published as full articles and letters, but also reviews and more opinion pieces such as perspective articles.The lack of prescription with regard to subject matter is because the chemical and biological sensing field is advancing at incredible speed in many different directions.We see this in the very first issue where we have a review on biosensors developed using two-dimensional molybdenum disulfide, 1 while our cover paper is on paper-based fluidics. 2The first paper to receive ACS Editors' Choice status is on an intracellular sensor for zinc, 3 and the first paper from one of us relates to addressing the challenge of alkaline pH values found in environmental samples on potentiometric anion analysis. 4The first issue also includes papers focusing on applications as diverse as environmental analysis, food monitoring, biomedical, and even nanoparticle detection. 5Less well represented in the first issue are papers on biosensors, cell-based sensors, or single-molecule devices, but this will certainly be addressed with time.Your editorial team covers this broad range of sensing expertise.Shana has a background in electrochemical biosensors for clinical analysis as well as intracellular sensors; Eric's expertise is in chemical sensors for environmental and

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2016
Admission routes1
Has abstractyes

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