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Record W4412694680 · doi:10.1002/jaba.1086

Issue Information

2025· paratext· en· W4412694680 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Applied Behavior Analysis · 2025
Typeparatext
Languageen
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsnot available
FundersState University of New York Upstate Medical UniversityAnadolu ÜniversitesiEastern Michigan UniversityFlorida Institute of TechnologyUniversity of Nevada, RenoTemple UniversityUniversity of the PacificGrand Valley State UniversityUniversity of North TexasUniversity of South FloridaCalifornia State University, SacramentoVanderbilt UniversityDrexel UniversityWestern Michigan UniversityAuburn UniversityUniversity of Nebraska Medical CenterState University of New YorkUniversity of MinnesotaWestern New England UniversityTexas Tech UniversityCalifornia State University, StanislausWayne State UniversityBrock UniversityRowan UniversityUniversity of MiamiWest Virginia UniversityUtah State UniversityEmory UniversitySt Mary's UniversityLouisiana State UniversityGeorgia Southern UniversityUniversity of OklahomaChildren's Mercy HospitalUniversity of WashingtonGeorgia State UniversityTexas Christian UniversityMarquette UniversityUniversity of Maryland, Baltimore County
KeywordsPsychology

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0010.000
Scholarly communication0.0070.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9490.918

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 head0.012
GPT teacher head0.281
Teacher spread0.270 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractno

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