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Quantitative assessment of visual microscopy as a tool for microplastic research: Recommendations for improving methods and reporting

2022· article· en· W4295775467 on OpenAlexaff
Syd Kotar, Rae McNeish, Clare Murphy-Hagan, Violet Compton Renick, Chih-Fen T. Lee, Clare Steele, Amy Lusher, Charles J. Moore, Elizabeth C. Minor, Joseph J. Schroeder, Paul A. Helm, Keith Rickabaugh, Hannah De Frond, Kristine Gesulga, Wenjian Lao, Keenan Munno, Leah M. Thornton Hampton, Stephen B. Weisberg, Charles S. Wong, Gaurav Amarpuri, Robert C. Andrews, Steven M. Barnett, Silke Christiansen, Win Cowger, Kévin Crampond, Fangni Du, Andrew B. Gray, Jeanne Hankett, Kay T. Ho, Julia Jaeger, Claire Lilley, Lei Mai, Odette Mina, Eunah Lee, Sebastian Primpke, Samiksha Singh, Joakim Skovly, Theresa R. Slifko, Suja Sukumaran, Bert van Bavel, Jennifer Van Brocklin, Florian Vollnhals, Chenxi Wu, Chelsea M. Rochman

Bibliographic record

VenueChemosphere · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsUniversité du Québec à RimouskiUniversity of TorontoMinistry of the Environment, Conservation and Parks
Fundersnot available
KeywordsEnvironmental scienceNanotechnologyBiochemical engineeringMaterials scienceEngineering

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.124
metaresearch head score (Gemma)0.117
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.876
Threshold uncertainty score0.655

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1240.117
Meta-epidemiology (narrow)0.0060.003
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0180.008
Science and technology studies0.0040.008
Scholarly communication0.0110.010
Open science0.0160.005
Research integrity0.0120.011
Insufficient payload (model declined to judge)0.0080.005

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 head0.103
GPT teacher head0.471
Teacher spread0.368 · 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.

Study designObservational
DomainReporting
GenreMethods

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

Citations93
Published2022
Admission routes1
Has abstractno

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