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Record W4394714109 · doi:10.32388/63asmn

Review of: "From Psychostasis to the Discovery of Cardiac Nerves: The Origins of the Modern Cardiac Neuromodulation Concept"

2024· peer-review· en· W4394714109 on OpenAlexaff
Praloy Chakraborty

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsNeuromodulationNeurosciencePsychologyMedicineCognitive scienceCentral nervous system

Abstract

fetched live from OpenAlex

The Origins of the Modern Cardiac Neuromodulation Concept" is philosophical and thought-provoking. It addresses a broad spectrum of subjects and periods. Overall, the manuscript shows promise as a comprehensive review of the historical and contemporary understanding of cardiac physiology and innervation. It effectively bridges the gap between ancient philosophical perspectives and modern neurophysiological research, offering a thorough exploration of key figures, concepts, and discoveries in the field. However, while the manuscript provides valuable insights, its length may be considered exhaustive. To ensure comprehensiveness while maintaining reader engagement, I suggest tightening the content to focus on key themes and findings. This will allow essential information to be conveyed concisely, fostering a more comprehensive understanding of the subject matter. Additionally, integrating diverse perspectives and prioritizing impactful content will contribute to the manuscript's depth without sacrificing clarity or coherence.

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)0.006
metaresearch head score (Gemma)0.050
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.025
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.050
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0020.003
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0250.013

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 head0.038
GPT teacher head0.333
Teacher spread0.295 · 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
GenreEditorial

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
Published2024
Admission routes1
Has abstractyes

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