{"paper":{"title":"The Proposal Auto-Categorizer and Manager for Time Allocation Review at Space Telescope Science Institute","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"I. Neill Reid, Jill Lagerstrom, Louis-Gregory Strolger, Michael Garcia, Sarah Weissman, Sophia Porter","submitted_at":"2017-02-10T20:53:08Z","abstract_excerpt":"The Proposal Auto-Categorizer and Manager (PACMan) tool was written to respond to concerns on subjective flaws and potential biases in some aspects of the proposal review process for time allocation for the {\\it Hubble Space Telescope} (HST), and to partially alleviate some of the anticipated additional workload from the {\\it James Webb Space Telescope} (JWST) proposal review. PACMan is essentially a mixed-method Naive Bayesian spam filtering routine, with multiple pools representing scientific categories, that utilizes the Robinson method for combining token (or word) probabilities. PACMan wa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.03324","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}