Assessment of Tail-Cutting in Frozen Albacore (

Masafumi Yagi, Akira Sakai, Suguru Yasutomi, Kanata Suzuki, Hiroki Kashikura, Keiichi Goto

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

Quality Assessment in Frozen Seafood: Advances in Sensing Technologies and Artificial Intelligence.Foods (Basel, Switzerland) · 2026
Review
Ultrasound in the Food Industry: Mechanisms and Applications for Non-Invasive Texture and Quality Analysis.Foods (Basel, Switzerland) · 2025
Review

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Masafumi YagiSchool of Marine Science and Technology, Tokai University, 3-20-1 Orido, Shimizu-ku, Shizuoka-shi 424-8610, Shizuoka, Japan.ORCID 0000-0001-8234-4357

Akira SakaiArtificial Intelligence Laboratory, Fujitsu Limited, 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki-shi 211-8588, Kanagawa, Japan.ORCID 0000-0003-3951-1089

Suguru YasutomiArtificial Intelligence Laboratory, Fujitsu Limited, 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki-shi 211-8588, Kanagawa, Japan.

Kanata SuzukiArtificial Intelligence Laboratory, Fujitsu Limited, 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki-shi 211-8588, Kanagawa, Japan.ORCID 0000-0001-7122-7649

Hiroki KashikuraGraduate School of Marine Science and Technology, Tokai University, 3-20-1 Orido, Shimizu-ku, Shizuoka-shi 424-8610, Shizuoka, Japan.

Keiichi GotoSchool of Marine Science and Technology, Tokai University, 3-20-1 Orido, Shimizu-ku, Shizuoka-shi 424-8610, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fat content is the main criterion for evaluating albacore quality. However, no reports exist on the accuracy of the tail-cutting method, a method used to assess the fat content of albacore. Here, we evaluated this method by comparing it with chemical analysis and ultrasound inspection. We measured the actual fat content in albacore using chemical analysis and compared the results with those obtained using the tail-cutting method. Significant discrepancies (99% CI,

Indexed as

fat contentfrozen albacorefrozen tunamachine learningtail-cuttingultrasound

Identifiers

PMID39682932

DOI10.3390/foods13233860

PMCPMC11639862

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.