{"id":"https://openalex.org/W4321325889","doi":"https://doi.org/10.1007/s10506-023-09348-9","title":"Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach","display_name":"Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach","publication_year":2023,"publication_date":"2023-02-18","ids":{"openalex":"https://openalex.org/W4321325889","doi":"https://doi.org/10.1007/s10506-023-09348-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10506-023-09348-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10506-023-09348-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10506-023-09348-9.pdf","source":{"id":"https://openalex.org/S96609033","display_name":"Artificial Intelligence and Law","issn_l":"0924-8463","issn":["0924-8463","1572-8382"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence and Law","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10506-023-09348-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006659521","display_name":"Hugo Mentzingen","orcid":"https://orcid.org/0000-0001-8538-1727"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Hugo Mentzingen","raw_affiliation_strings":["NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0001-8538-1727","affiliations":[{"raw_affiliation_string":"NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043008759","display_name":"Nuno Ant\u00f3nio","orcid":"https://orcid.org/0000-0002-4801-2487"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Nuno Antonio","raw_affiliation_strings":["NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-4801-2487","affiliations":[{"raw_affiliation_string":"NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057851495","display_name":"Victor Lobo","orcid":"https://orcid.org/0000-0002-0149-3367"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]},{"id":"https://openalex.org/I921685582","display_name":"Escola Naval","ror":"https://ror.org/01ev6gy70","country_code":"PT","type":"education","lineage":["https://openalex.org/I4403386485","https://openalex.org/I4403386575","https://openalex.org/I921685582"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Victor Lobo","raw_affiliation_strings":["CINAV, Portuguese Naval Academy, Alfeite, 2810-001, Almada, Portugal","NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0149-3367","affiliations":[{"raw_affiliation_string":"CINAV, Portuguese Naval Academy, Alfeite, 2810-001, Almada, Portugal","institution_ids":["https://openalex.org/I921685582"]},{"raw_affiliation_string":"NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006659521"],"corresponding_institution_ids":["https://openalex.org/I83558840"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":5.7541,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95619924,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"32","issue":"1","first_page":"201","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9995999932289124,"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/T11762","display_name":"Law, Economics, and Judicial Systems","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12755","display_name":"Legal Education and Practice Innovations","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8063925504684448},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7887095212936401},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.7399890422821045},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6626414656639099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597535371780396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5144953727722168},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4412088394165039},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.43845948576927185},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14630126953125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063925504684448},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7887095212936401},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.7399890422821045},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6626414656639099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597535371780396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5144953727722168},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4412088394165039},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.43845948576927185},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14630126953125},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10506-023-09348-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10506-023-09348-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10506-023-09348-9.pdf","source":{"id":"https://openalex.org/S96609033","display_name":"Artificial Intelligence and Law","issn_l":"0924-8463","issn":["0924-8463","1572-8382"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence and Law","raw_type":"journal-article"},{"id":"pmh:oai:run.unl.pt:10362/149493","is_oa":true,"landing_page_url":"http://hdl.handle.net/10362/149493","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":{"id":"doi:10.1007/s10506-023-09348-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10506-023-09348-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10506-023-09348-9.pdf","source":{"id":"https://openalex.org/S96609033","display_name":"Artificial Intelligence and Law","issn_l":"0924-8463","issn":["0924-8463","1572-8382"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence and Law","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323459","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4321325889.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W368469426","https://openalex.org/W1588441429","https://openalex.org/W1985697096","https://openalex.org/W2079597242","https://openalex.org/W2081687495","https://openalex.org/W2121605237","https://openalex.org/W2148143831","https://openalex.org/W2167277498","https://openalex.org/W2250539671","https://openalex.org/W2295598076","https://openalex.org/W2536769020","https://openalex.org/W2891177506","https://openalex.org/W2912573428","https://openalex.org/W2954257417","https://openalex.org/W3046377295","https://openalex.org/W3090556797","https://openalex.org/W3092567410","https://openalex.org/W3121382603","https://openalex.org/W3122334902","https://openalex.org/W3152332785","https://openalex.org/W3160625028","https://openalex.org/W4230763437"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1977906818","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W2009669813"],"abstract_inverted_index":{"Abstract":[0],"Decisions":[1],"of":[2,11,38,75,119,268],"regulatory":[3],"government":[4],"bodies":[5],"and":[6,16,23,90,100,111,121,159,193,227,245,250,255,278,294],"courts":[7,17],"affect":[8,91],"many":[9],"aspects":[10,82],"citizens\u2019":[12],"lives.":[13],"These":[14],"organizations":[15],"are":[18,257],"expected":[19],"to":[20,29,43,124],"provide":[21],"timely":[22],"coherent":[24],"decisions,":[25],"although":[26],"they":[27],"struggle":[28],"keep":[30],"up":[31],"with":[32,70,203,284],"the":[33,65,116,135,156,179,188,196,204,208,214,224,229,242,270,273,279,290],"increasing":[34],"demand.":[35],"The":[36,60,144,167],"ability":[37],"machine":[39],"learning":[40],"(ML)":[41],"models":[42,85],"predict":[44,125],"such":[45,94],"decisions":[46],"based":[47,138,150],"on":[48,139,151,175,223],"past":[49],"cases":[50],"under":[51],"similar":[52],"circumstances":[53],"was":[54,169],"assessed":[55],"in":[56,199],"some":[57],"recent":[58],"works.":[59],"dominant":[61],"conclusion":[62],"is":[63,68,191,210],"that":[64,86,133,163,237],"prediction":[66,149],"goal":[67],"achievable":[69],"high":[71,248],"accuracy.":[72],"Nevertheless,":[73],"most":[74],"those":[76,109],"works":[77],"do":[78],"not":[79],"consider":[80],"important":[81],"for":[83],"ML":[84],"can":[87],"impact":[88],"performance":[89],"real-world":[92,261],"usefulness,":[93],"as":[95,185,187],"consistency,":[96],"out-of-sample":[97],"applicability,":[98],"generality,":[99],"explainability":[101,219],"preservation.":[102],"To":[103],"our":[104],"knowledge,":[105],"none":[106],"considered":[107],"all":[108],"aspects,":[110],"no":[112],"previous":[113],"study":[114,168],"addressed":[115],"joint":[117],"use":[118],"metadata":[120,205,256],"text-extracted":[122],"variables":[123],"administrative":[126],"decisions.":[127],"We":[128],"propose":[129],"a":[130,140,147,160,264],"predictive":[131],"model":[132,145,216],"addresses":[134],"abovementioned":[136],"concerns":[137],"two-stage":[141],"cascade":[142,239],"classifier.":[143],"employs":[146],"first-stage":[148],"textual":[152,225],"features":[153,226],"extracted":[154],"from":[155],"original":[157],"documents":[158],"second-stage":[161],"classifier":[162],"includes":[164],"proceedings\u2019":[165],"metadata.":[166],"conducted":[170],"using":[171],"time-based":[172],"cross-validation,":[173],"built":[174],"data":[176],"available":[177,258],"before":[178],"predicted":[180],"judgment.":[181],"It":[182],"provides":[183,217],"predictions":[184],"soon":[186],"decision":[189],"date":[190],"scheduled":[192],"only":[194],"considers":[195],"first":[197,211],"document":[198],"each":[200],"proceeding,":[201],"along":[202],"recorded":[206],"when":[207,252],"infringement":[209],"registered.":[212],"Finally,":[213],"proposed":[215],"local":[218],"by":[220,276,282,289],"preserving":[221,260],"visibility":[222],"employing":[228],"SHapley":[230],"Additive":[231],"exPlanations":[232],"(SHAP).":[233],"Our":[234],"findings":[235],"suggest":[236],"this":[238],"approach":[240],"surpasses":[241],"standalone":[243],"stages":[244],"achieves":[246],"relatively":[247],"Precision":[249],"Recall":[251],"both":[253],"text":[254],"while":[259],"usefulness.":[262],"With":[263],"weighted":[265],"F1":[266],"score":[267],"0.900,":[269],"results":[271],"outperform":[272],"text-only":[274],"baseline":[275,281],"1.24%":[277],"metadata-only":[280],"5.63%,":[283],"better":[285],"discriminative":[286],"properties":[287],"evaluated":[288],"receiver":[291],"operating":[292],"characteristic":[293],"precision-recall":[295],"curves.":[296]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-08T08:47:23.578185","created_date":"2025-10-10T00:00:00"}
