{"id":"https://openalex.org/W4408106386","doi":"https://doi.org/10.1016/j.engappai.2026.114798","title":"Improving large language model assisted categorization and classification of highway construction accidents","display_name":"Improving large language model assisted categorization and classification of highway construction accidents","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W4408106386","doi":"https://doi.org/10.1016/j.engappai.2026.114798"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.114798","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114798","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.engappai.2026.114798","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093882539","display_name":"Mason Smetana","orcid":"https://orcid.org/0009-0009-4130-3781"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mason Smetana","raw_affiliation_strings":["University of Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003701310","display_name":"Lucio Salles de Salles","orcid":"https://orcid.org/0009-0000-9080-4448"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lucio Salles de Salles","raw_affiliation_strings":["Rochester Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060930143","display_name":"Lev Khazanovich","orcid":"https://orcid.org/0000-0002-8422-9181"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lev Khazanovich","raw_affiliation_strings":["University of Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":{"value":3170,"currency":"USD","value_usd":3170},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00071531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"176","issue":null,"first_page":"114798","last_page":"114798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14410","display_name":"Safety and Risk Management","score":0.9251000285148621,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.8602099418640137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5189428329467773},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4462081491947174},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.37236011028289795},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28980982303619385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.266371488571167}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8602099418640137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5189428329467773},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4462081491947174},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.37236011028289795},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28980982303619385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.266371488571167}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.engappai.2026.114798","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114798","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.5162763","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.5162763","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.1016/j.engappai.2026.114798","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114798","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310174","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2173213060","https://openalex.org/W2402968296","https://openalex.org/W2905523020","https://openalex.org/W2906305053","https://openalex.org/W2997218195","https://openalex.org/W3005792683","https://openalex.org/W3010212250","https://openalex.org/W3035120890","https://openalex.org/W3081626762","https://openalex.org/W3091502014","https://openalex.org/W3135655178","https://openalex.org/W3157575185","https://openalex.org/W3192778626","https://openalex.org/W3196359847","https://openalex.org/W3213790469","https://openalex.org/W4205878128","https://openalex.org/W4285602547","https://openalex.org/W4308441536","https://openalex.org/W4309236643","https://openalex.org/W4313420493","https://openalex.org/W4318588135","https://openalex.org/W4323304377","https://openalex.org/W4360847209","https://openalex.org/W4366990278","https://openalex.org/W4367298432","https://openalex.org/W4379473370","https://openalex.org/W4387204535","https://openalex.org/W4391614156","https://openalex.org/W4401985001","https://openalex.org/W4413963126"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4405331580","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258"],"abstract_inverted_index":{"The":[0,44,68,95,118],"construction":[1,184],"industry,":[2],"particularly":[3],"in":[4,31,65,114,124,132,157,183],"highway":[5],"work":[6],"zones,":[7],"grapples":[8],"with":[9,105,188],"persistently":[10],"high":[11],"rates":[12],"of":[13,87,130,140],"occupational":[14],"injuries":[15],"and":[16,41,55,91,99,116,146,152,177],"fatalities,":[17],"requiring":[18],"a":[19,48,71,85,111,168],"transformative":[20],"approach":[21,50,96],"to":[22,149,179],"bolster":[23],"safety":[24,32,63,135,154,181],"measures.":[25],"This":[26],"study":[27,69,164],"proceeds":[28],"current":[29],"research":[30,119],"by":[33,126],"harnessing":[34],"modern":[35],"technologies,":[36],"including":[37,137],"natural":[38],"language":[39,107],"processing":[40,133],"machine":[42,102],"learning.":[43],"primary":[45],"objective":[46],"presents":[47],"systematic":[49],"for":[51,61,170],"future":[52],"understanding,":[53],"preventing,":[54],"mitigating":[56],"accidents,":[57],"highlighting":[58],"the":[59,88,138,163],"need":[60],"enhanced":[62],"protocols":[64],"targeted":[66],"activities.":[67],"conducts":[70],"comprehensive":[72],"data-driven":[73],"analysis":[74],"based":[75],"on":[76],"text-rich":[77],"narratives":[78],"extracted":[79],"from":[80],"publicly":[81],"available":[82],"data,":[83,136],"utilizing":[84],"subset":[86],"Occupational":[89],"Safety":[90],"Health":[92],"Administration":[93],"databases.":[94],"incorporates":[97],"clustering":[98],"classification":[100],"through":[101],"learning":[103,148],"techniques,":[104],"large":[106],"models":[108],"(LLMs)":[109],"playing":[110],"pivotal":[112],"role":[113],"comprehension":[115],"dissemination.":[117],"advances":[120],"artificial":[121],"intelligence":[122],"(AI)":[123],"engineering":[125],"demonstrating":[127],"innovative":[128],"applications":[129],"LLMs":[131,166],"unstructured":[134],"use":[139],"advanced":[141],"prompting":[142],"techniques":[143],"like":[144],"zero-shot":[145],"few-shot":[147],"automatically":[150],"classify":[151],"cluster":[153],"narratives.":[155],"Anchored":[156],"OpenAI's":[158],"Generative":[159],"Pre-trained":[160],"Transformer":[161],"(GPT-3.5),":[162],"positions":[165],"as":[167],"foundation":[169],"further":[171],"exploration,":[172],"emphasizing":[173],"their":[174],"continuous":[175],"evolution":[176],"ability":[178],"enhance":[180],"analyses":[182],"or":[185],"other":[186],"industries":[187],"similar":[189],"concerns.":[190]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
