Article Instance
API Endpoint for journals.
GET /api/articles/26472/?format=api
{ "pk": 26472, "title": "Modeling Triage Decision Making", "subtitle": null, "abstract": "With the ever increasing amount of information available, the\nability to prioritize the most relevant items for full processing\nis increasingly necessary to maintain expertise in a domain.\nAs a result, accurate triage decisions--initial decisions about\nthe relevance of a given article, book, or talk in order to\ndetermine whether to pursue that information further--are\nvery important. In the present paper, we present a model of\ntriage decision making that includes both an information\nsearch component to determine reading strategy and a\ndecision making component to make the final decision. We\napply the model to human relevance ratings as well as binary\ndecisions of relevance for a set of emails.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "information search; information foraging;\ndecision making; triage decision making" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/1461m8q3", "frozenauthors": [ { "first_name": "J.", "middle_name": "Isaiah", "last_name": "Harbison", "name_suffix": "", "institution": "University of Maryland", "department": "" }, { "first_name": "Alan", "middle_name": "", "last_name": "Mishler", "name_suffix": "", "institution": "University of Maryland", "department": "" }, { "first_name": "Thomas", "middle_name": "", "last_name": "Wallsten", "name_suffix": "", "institution": "University of Maryland", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2016-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26472/galley/16108/download/" } ] }