PRiSM (Partial Responses in Structured Models): a Python framework for converting probabilistic binary classifiers into auditable nomograms
- DOI
- 10.5281/zenodo.19632957
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- no
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- supportingPublication license: A publication license was supplied: https://opensource.org/licenses/BSD-3-Clause. Presence improves reuse transparency, not research validity.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.5281/zenodo.19632957,
title = {PRiSM (Partial Responses in Structured Models): a Python framework for converting probabilistic binary classifiers into auditable nomograms},
author = {Pigot, Henry and Lisboa, Paulo and Nilsson, Johan},
year = {2026},
doi = {10.5281/zenodo.19632957},
url = {https://doi.org/10.5281/zenodo.19632957}
}RIS
TY - JOUR TI - PRiSM (Partial Responses in Structured Models): a Python framework for converting probabilistic binary classifiers into auditable nomograms AU - Pigot, Henry AU - Lisboa, Paulo AU - Nilsson, Johan PY - 2026 DO - 10.5281/zenodo.19632957 UR - https://doi.org/10.5281/zenodo.19632957 ER -
APA
Henry, P., Paulo, L., & Johan, N. (2026). PRiSM (Partial Responses in Structured Models): a Python framework for converting probabilistic binary classifiers into auditable nomograms. https://doi.org/10.5281/zenodo.19632957