Claims

Model specificity correlates positively with database length and negatively with the proportion of relevant studies

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q2 · i2–i3
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i2 Database length correlated positively with model specificity (ρ = .35). → Campos 2024 q2 i3 The rate of relevant studies in an abstract collection correlated negatively with algorithm specificity (ρ = −0.65). → Campos 2024 (2)

Evidence

Campos 2024

Campos, D. G., Fütterer, T., Gfrörer, T., Lavelle-Hill, R., Murayama, K., König, L., Hecht, M., Zitzmann, S., & Scherer, R. (2024). Screening Smarter, Not Harder: A Comparative Analysis of Machine Learning Screening Algorithms and Heuristic Stopping Criteria for Systematic Reviews in Educational Research. Educational Psychology Review. https://doi.org/10.1007/s10648-024-09862-5

q2 · i2 · associational · r2

Exploratory Spearman correlation across the 27 abstract collections. The article reports "a positive correlation between database length and model specificity (ρ = .35, 95% CI [0.22, 0.48])".

"Exploratory analyses suggested a positive correlation between database length and model specificity (ρ = .35, 95% CI [0.22, 0.48])"

Campos 2024 (2)

Campos, D. G., Fütterer, T., Gfrörer, T., Lavelle-Hill, R., Murayama, K., König, L., Hecht, M., Zitzmann, S., & Scherer, R. (2024). Screening Smarter, Not Harder: A Comparative Analysis of Machine Learning Screening Algorithms and Heuristic Stopping Criteria for Systematic Reviews in Educational Research. Educational Psychology Review. https://doi.org/10.1007/s10648-024-09862-5

q2 · i3 · associational · r2

Same exploratory correlational analysis across the 27 collections. The article reports "a negative correlation between the rate of relevant studies in an abstract collection and the specificity of the algorithms (ρ = − 0.65, 95% CI [− 0.72, − 0.58])".

"a negative correlation between the rate of relevant studies in an abstract collection and the specificity of the algorithms (ρ = − 0.65, 95% CI [− 0.72, − 0.58])."

Discussion

Page metadata
Field Value
type claim
id database-characteristics-correlate-with-screening-specificity
title Model specificity correlates positively with database length and negatively with the proportion of relevant studies
description Model specificity correlates positively with database length and negatively with the proportion of relevant studies
status review
evidence_strength weak
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-21
trust unverified — no one has confirmed this page's content
sources 2 — campos-2024, campos-2024-2

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