eamcmx/bibliosense-app

bibliosense is a Windows application for bibliometric analysis and PRISMA-guided corpus curation. Its documented workflow treats AI screening as provisional and retains final inclusion decisions with researchers.

L2Research workflow Source Vendor-documented Outcome Not empirically evaluated here

Evidence & verification

Source level

Vendor-documented
Grounded in vendor documentation or claims; not independent validation.

Outcome verification

Not empirically evaluated here
A documented resource or intended workflow, not a demonstrated academic outcome. No empirical benefit is established by its inclusion.

Sources checked

2026-11-01 (UTC)

AI source review of partial-documentation. Identity/version: primary snapshot matches this queued resource; exact upstream release/byte parity is not generally verified. Source classification is not a correctness or research-benefit guarantee.

Source-checked does not mean independently reproduced. See the Method page for how these labels are assigned.

Sources (1)

Research applicability

Primary vendor README describes corpus search, bibliometrics and provisional AI screening with author-defined criteria, blinded human re-screening and final author decisions.

Getting started

Windows 10/11 x64; optional AI-provider key and database access; proprietary trial/licence terms apply.

Maintenance

Source snapshot checked 2026-11-01; ongoing maintenance, installed behavior and current-version parity not generally verified.

License

Consult original licence and data/provider terms; source access is not reuse clearance. No licence/rights audit or installation was performed.

Workflow & human oversight

Scoped L2: Documented search/import, analysis, screening and export form a connected process. Researchers define criteria, re-screen a sample with AI verdicts hidden and retain inclusion decisions; software effectiveness is untested here. Human control/boundary: Documented search/import, analysis, screening and export form a connected process. Researchers define criteria, re-screen a sample with AI verdicts hidden and retain inclusion decisions; software effectiveness is untested here.

Workflow level is not an evidence score; higher is not better evidence.

Approach

Primary vendor README describes corpus search, bibliometrics and provisional AI screening with author-defined criteria, blinded human re-screening and final author decisions. Documented steps: Research question/records → AI query drafting and screening → human corroboration/final inclusion → analysis/export. Human team orchestrates the stages; no autonomous research conclusion claimed.

Outcomes (as reported by the originating team)

Author reports or documentation only, not independently reproduced. No independent reproduction was performed here.

Limitations

Vendor documentation only. Methods-note validation κ is a placeholder to fill, not a measured result. No time savings, accuracy or privacy benefit independently verified.

Reproducibility

Primary-source text was read and preserved with provenance hashes. No candidate code, model, benchmark, data upload or claimed outcome was executed/reproduced.

Adoption requirements

Windows 10/11 x64; optional AI-provider key and database access; proprietary trial/licence terms apply.

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