Violin plot of all application test performance metrics.

<p>The distribution of performance metrics (right side labels and y-axis) across all testers (violin plots), clinicopathologic findings (x-axis), and each TFIDF condition (top labels) in a pilot test of the application DEE, designed for rapid extraction of necropsy data from the Wildbase Patho...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Glavni autor: Stefan Saverimuttu (20882325) (author)
Daljnji autori: Kate McInnes (7520158) (author), Kristin Warren (3339657) (author), Lian Yeap (21221659) (author), Stuart Hunter (2498485) (author), Brett Gartrell (6325817) (author), An Pas (12001965) (author), James Chatterton (20347204) (author), Bethany Jackson (3339660) (author)
Izdano: 2025
Teme:
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
_version_ 1849927628057739264
author Stefan Saverimuttu (20882325)
author2 Kate McInnes (7520158)
Kristin Warren (3339657)
Lian Yeap (21221659)
Stuart Hunter (2498485)
Brett Gartrell (6325817)
An Pas (12001965)
James Chatterton (20347204)
Bethany Jackson (3339660)
author2_role author
author
author
author
author
author
author
author
author_facet Stefan Saverimuttu (20882325)
Kate McInnes (7520158)
Kristin Warren (3339657)
Lian Yeap (21221659)
Stuart Hunter (2498485)
Brett Gartrell (6325817)
An Pas (12001965)
James Chatterton (20347204)
Bethany Jackson (3339660)
author_role author
dc.creator.none.fl_str_mv Stefan Saverimuttu (20882325)
Kate McInnes (7520158)
Kristin Warren (3339657)
Lian Yeap (21221659)
Stuart Hunter (2498485)
Brett Gartrell (6325817)
An Pas (12001965)
James Chatterton (20347204)
Bethany Jackson (3339660)
dc.date.none.fl_str_mv 2025-11-25T18:30:39Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0337720.s003
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/Violin_plot_of_all_application_test_performance_metrics_/30714035
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Ecology
Information Systems not elsewhere classified
wildlife necropsy data
wildbase pathology register
study evaluates part
score &# 8212
pilot study highlights
one health objectives
limited terminological variance
examine ), designed
driven misclassification patterns
consuming process poses
analysed alongside tester
63 &# 8211
terminological variance may
efficiently derive insights
text clinical data
search term selection
efficient data retrieval
four clinicopathologic findings
highest performance scores
scores across
knowledge retrieval
extracting insights
efficient utilisation
clinicopathologic finding
tested findings
findings reveal
findings characterized
xlink ">
valuable resources
results highlight
relatively simple
rapid analysis
principals underlying
mining approaches
mining application
may describe
manual review
external oiling
diphtheritic stomatitis
broader implementation
bespoke text
based text
automatically capture
application testers
advancing conservation
dc.title.none.fl_str_mv Violin plot of all application test performance metrics.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p>The distribution of performance metrics (right side labels and y-axis) across all testers (violin plots), clinicopathologic findings (x-axis), and each TFIDF condition (top labels) in a pilot test of the application DEE, designed for rapid extraction of necropsy data from the Wildbase Pathology Register of Aotearoa New Zealand.</p> <p>(TIF)</p>
eu_rights_str_mv openAccess
id Manara_de553fe32042e32b581d3c0eafb6e4fd
identifier_str_mv 10.1371/journal.pone.0337720.s003
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30714035
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Violin plot of all application test performance metrics.Stefan Saverimuttu (20882325)Kate McInnes (7520158)Kristin Warren (3339657)Lian Yeap (21221659)Stuart Hunter (2498485)Brett Gartrell (6325817)An Pas (12001965)James Chatterton (20347204)Bethany Jackson (3339660)EcologyInformation Systems not elsewhere classifiedwildlife necropsy datawildbase pathology registerstudy evaluates partscore &# 8212pilot study highlightsone health objectiveslimited terminological varianceexamine ), designeddriven misclassification patternsconsuming process posesanalysed alongside tester63 &# 8211terminological variance mayefficiently derive insightstext clinical datasearch term selectionefficient data retrievalfour clinicopathologic findingshighest performance scoresscores acrossknowledge retrievalextracting insightsefficient utilisationclinicopathologic findingtested findingsfindings revealfindings characterizedxlink ">valuable resourcesresults highlightrelatively simplerapid analysisprincipals underlyingmining approachesmining applicationmay describemanual reviewexternal oilingdiphtheritic stomatitisbroader implementationbespoke textbased textautomatically captureapplication testersadvancing conservation<p>The distribution of performance metrics (right side labels and y-axis) across all testers (violin plots), clinicopathologic findings (x-axis), and each TFIDF condition (top labels) in a pilot test of the application DEE, designed for rapid extraction of necropsy data from the Wildbase Pathology Register of Aotearoa New Zealand.</p> <p>(TIF)</p>2025-11-25T18:30:39ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0337720.s003https://figshare.com/articles/figure/Violin_plot_of_all_application_test_performance_metrics_/30714035CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307140352025-11-25T18:30:39Z
spellingShingle Violin plot of all application test performance metrics.
Stefan Saverimuttu (20882325)
Ecology
Information Systems not elsewhere classified
wildlife necropsy data
wildbase pathology register
study evaluates part
score &# 8212
pilot study highlights
one health objectives
limited terminological variance
examine ), designed
driven misclassification patterns
consuming process poses
analysed alongside tester
63 &# 8211
terminological variance may
efficiently derive insights
text clinical data
search term selection
efficient data retrieval
four clinicopathologic findings
highest performance scores
scores across
knowledge retrieval
extracting insights
efficient utilisation
clinicopathologic finding
tested findings
findings reveal
findings characterized
xlink ">
valuable resources
results highlight
relatively simple
rapid analysis
principals underlying
mining approaches
mining application
may describe
manual review
external oiling
diphtheritic stomatitis
broader implementation
bespoke text
based text
automatically capture
application testers
advancing conservation
status_str publishedVersion
title Violin plot of all application test performance metrics.
title_full Violin plot of all application test performance metrics.
title_fullStr Violin plot of all application test performance metrics.
title_full_unstemmed Violin plot of all application test performance metrics.
title_short Violin plot of all application test performance metrics.
title_sort Violin plot of all application test performance metrics.
topic Ecology
Information Systems not elsewhere classified
wildlife necropsy data
wildbase pathology register
study evaluates part
score &# 8212
pilot study highlights
one health objectives
limited terminological variance
examine ), designed
driven misclassification patterns
consuming process poses
analysed alongside tester
63 &# 8211
terminological variance may
efficiently derive insights
text clinical data
search term selection
efficient data retrieval
four clinicopathologic findings
highest performance scores
scores across
knowledge retrieval
extracting insights
efficient utilisation
clinicopathologic finding
tested findings
findings reveal
findings characterized
xlink ">
valuable resources
results highlight
relatively simple
rapid analysis
principals underlying
mining approaches
mining application
may describe
manual review
external oiling
diphtheritic stomatitis
broader implementation
bespoke text
based text
automatically capture
application testers
advancing conservation