{"id":"https://openalex.org/W2777640491","doi":"https://doi.org/10.1145/3086512.3086521","title":"Predicting trade secret case outcomes using argument schemes and learned quantitative value effect tradeoffs","display_name":"Predicting trade secret case outcomes using argument schemes and learned quantitative value effect tradeoffs","publication_year":2017,"publication_date":"2017-06-12","ids":{"openalex":"https://openalex.org/W2777640491","doi":"https://doi.org/10.1145/3086512.3086521","mag":"2777640491"},"language":"en","primary_location":{"id":"doi:10.1145/3086512.3086521","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3086512.3086521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003638231","display_name":"Matthias Grabmair","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthias Grabmair","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003638231"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.5366,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95455418,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13999","display_name":"Digital Rights Management and Security","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13999","display_name":"Digital Rights Management and Security","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13851","display_name":"Law, AI, and Intellectual Property","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/misappropriation","display_name":"Misappropriation","score":0.7717064619064331},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.6684117913246155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6384382247924805},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.6066548228263855},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5456907153129578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.441449373960495},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.42729657888412476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3843309283256531},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36942529678344727}],"concepts":[{"id":"https://openalex.org/C2780858551","wikidata":"https://www.wikidata.org/wiki/Q3824105","display_name":"Misappropriation","level":2,"score":0.7717064619064331},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.6684117913246155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6384382247924805},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.6066548228263855},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5456907153129578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.441449373960495},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.42729657888412476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3843309283256531},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36942529678344727},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3086512.3086521","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3086512.3086521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1953136326","https://openalex.org/W1995770214","https://openalex.org/W1999283223","https://openalex.org/W2009299421","https://openalex.org/W2024060531","https://openalex.org/W2024318497","https://openalex.org/W2032974234","https://openalex.org/W2033787843","https://openalex.org/W2065776138","https://openalex.org/W2087567709","https://openalex.org/W2116246756","https://openalex.org/W2117090172","https://openalex.org/W2117781069","https://openalex.org/W2134211747","https://openalex.org/W2145918162","https://openalex.org/W2145957733","https://openalex.org/W2469116550","https://openalex.org/W4255567318"],"related_works":["https://openalex.org/W4385450162","https://openalex.org/W2380846236","https://openalex.org/W2418611605","https://openalex.org/W2359265788","https://openalex.org/W2367530550","https://openalex.org/W2959643697","https://openalex.org/W2543860670","https://openalex.org/W2376711248","https://openalex.org/W1976458997","https://openalex.org/W4367056143"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,12,84],"Value":[4],"Judgment":[5],"Formalism":[6],"and":[7,21,43,52,67,86,124],"its":[8,92],"experimental":[9],"implementation":[10],"in":[11,64,72,129],"VJAP":[13,32],"system,":[14],"which":[15],"is":[16,115],"capable":[17],"of":[18,27,46,54],"arguing":[19],"about,":[20],"predicting":[22],"outcomes":[23,77],"of,":[24],"a":[25,44,79,112],"set":[26],"trade":[28,49],"secret":[29,50],"misappropriation":[30],"cases.":[31],"creates":[33],"an":[34,105],"argument":[35,41],"graph":[36,85],"for":[37],"each":[38,65],"case":[39,66,76],"using":[40,78,104],"schemes":[42],"representation":[45],"values":[47,63],"underlying":[48],"law":[51],"effects":[53,61],"facts":[55],"on":[56,62,111],"these":[57],"values.":[58],"It":[59,74],"balances":[60],"analogizes":[68],"it":[69],"to":[70],"tradeoffs":[71],"precedents.":[73],"predicts":[75],"confidence":[80,95],"measure":[81],"computed":[82],"from":[83,101],"generates":[87],"textual":[88],"legal":[89],"arguments":[90],"justifying":[91],"predictions.":[93],"The":[94,122],"propagation":[96],"uses":[97],"quantitative":[98],"weights":[99],"learned":[100],"past":[102],"cases":[103],"iterative":[106],"optimization":[107],"method.":[108],"Prediction":[109],"performance":[110],"limited":[113],"dataset":[114],"competitive":[116],"with":[117],"common":[118],"machine":[119],"learning":[120],"models.":[121],"results":[123],"VJAP's":[125],"behavior":[126],"are":[127],"discussed":[128],"detail.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}