BACS LLM / agentic-AI scoping review (2022–2026): corpus, screening pipeline, and dual-screener audit

Version 1.1.0 (2026-05-31). See CHANGELOG.md in the deposit for the full v1.0 → v1.1 difference list. Companion data and code deposit for the scoping review “Edge language models and agentic AI in building automation: a scoping review”. The deposit is journal-agnostic: it is the canonical citation for the underlying corpus, screening decisions, and audit artefacts irrespective of where the article is eventually published. This deposit contains the machine-readable corpus, the consolidated nine-step Python screening/classification pipeline, the dual-screener audit artefacts (60-record stratified sample, two independent screener decision files, and the Cohen’s κ computation script), the supplementary narrative documents, the PRISMA-ScR checklist, and the supplementary figures. The deposit supports downstream verification of every quantitative claim in the companion manuscript and partial reproduction of the corpus from the deposited CSV outputs. The article DOI will be added as an “is supplement to” related identifier on this Zenodo record once the companion article is accepted (metadata-only update; no version bump). Headline figures reproducible from this deposit: 9,834 cumulative search returns → 1,281 deduplicated records → 262 primary INCLUDE + 2 BACKGROUND methodology reviews = 264 in-window journal records (January 2022 – May 2026). 27 Boolean queries across six sources: Scopus, ScienceDirect, Semantic Scholar via Wiley discovery wrapper, Consensus, PubMed, and Tavily. Dual-screener Cohen’s κ: between-screener κ = 0.895; screener-vs-pipeline κ = 0.733–0.833, indicating substantial agreement. Reproducible by running dual_screening/compute_kappa.py. 78-paper top-cited extraction with the manual coding underlying Table 2.1 of the manuscript. Heuristic columns are deposited; the per-record manual coding sheet is currently a residual reproducibility gap noted in §7.1, limitation 6 of the manuscript. 23 named studies with manually coded evidence-tier / authority-tier classification in S4_Cross_study_quantitative.csv. The deposit does not include the manuscript itself (copyright held by the journal under standard publishing agreements) or the main-text figures embedded in the article. See README.md inside the bundle for the full data dictionary and the legacy T1–T10 ↔ A1–A10 theme-prefix note. Licences: CC-BY-4.0 for data and documents; MIT for code. See LICENSE inside the bundle for details.