TC500_Submission_Reproducibility_v2.0.0.zip
Year: 2026
Type: article
Abstract: Reproducibility Package for:"AI as a Research Implementation Partner for aNoncoding Investigator"- Triangle Centers Rankingpackage permits table reconstruction, raster recomputation and historical workflow replay at different levels.{ "metadata_note": "Human-readable Zenodo copying aid, not an API request. Review exercises assume genuine repository identifiers are ready; copy existing version DOIs verbatim, never invent them.", "title": "First-500 Triangle-Center Rankings: Data, Software and Evidence", "creators": [ { "name": "Hammoudeh, Ismail", "affiliation": "Independent Researcher" } ], "version": "2.0.0", "publication_date": "2026-11-09", "description": "Seven conditional rankings for 500 triangle centers; 631 stored trajectories; all 104 inventoried source files; description candidates and grammar; five labelled interaction-evidence episodes; current aggregation, boundary and gate-weight sensitivity analyses; two figures; ten-page conference manuscript; reproducibility entry point and preserved historical workflow. Neural interestingness belongs to the separately cited atlas work, not these seven rankings. AI referee reports are revision artifacts, not independent endorsement.", "keywords": [ "triangle centers", "AI-assisted research", "research software", "description length", "reproducibility", "conditional rankings" ], "resource_type_guidance": "Mixed research-object deposit: select the actual Zenodo type suited to the collection; software and datasets remain distinguished in the description.", "files": [ "TC500_Submission_Reproducibility_v2.0.0.zip", "TC500_Submission_Reproducibility_v2.0.0.sha256" ], "license_guidance": "Retain original notices. Select applicable terms for author-owned work; no blanket relicensing of ETC sources, vendor code or the external template.", "related_identifiers": [ { "identifier": "https://ismaa3iil.fyi/beauty-of-triangle-centers/", "relation": "isRelatedTo", "resource": "Related atlas website; separate neural results" }, { "identifier_source": "atlas_version_doi in RELEASE_IDENTIFIERS.json", "relation": "isRelatedTo" }, { "identifier_source": "ranking_previous_version_doi in RELEASE_IDENTIFIERS.json", "relation": "isNewVersionOf", "note": "Use only if a previous version of this same research object already exists; Zenodo versioning normally manages this link." } ], "identifier_source": "ranking_version_doi in RELEASE_IDENTIFIERS.json", "author_contact": "[email protected]"}{ "file": "TC500_Submission_Reproducibility_v2.0.0.zip", "bytes": 291734731, "MiB": 278.22, "sha256": "250de4acc329147fbd4ab98d7182d2141182787f20126412cdefd13dbc6b9599", "manifest_files": 166, "includes_legacy_archive": true, "includes_all_inventoried_sources": 104, "excludes": [ "scratch/", "__pycache__/" ], "version": "2.0.0"}DOI: 10.5281/zenodo.24095595
Author: Hammoudeh, Ismail
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225737643
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