{"id":"https://openalex.org/W7204188459","doi":"https://doi.org/10.3389/frai.2026.1846388","title":"Assessing the impact of AI-enabled BIM digital twins on construction risks: a Bayesian Network of Jordanian expert beliefs","display_name":"Assessing the impact of AI-enabled BIM digital twins on construction risks: a Bayesian Network of Jordanian expert beliefs","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204188459","doi":"https://doi.org/10.3389/frai.2026.1846388","pmid":"https://pubmed.ncbi.nlm.nih.gov/42712467","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13550160"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2026.1846388","doi":"https://doi.org/10.3389/frai.2026.1846388","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2026.1846388","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1846388/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1846388/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106011306","display_name":"Faten Albtoush","orcid":"https://orcid.org/0000-0002-4860-8694","observed_orcids":["https://orcid.org/0000-0002-4860-8694","https://orcid.org/0009-0005-7675-8293"]},"institutions":[{"id":"https://openalex.org/I27570832","display_name":"Jadara University","ror":"https://ror.org/001drnv35","country_code":"JO","type":"education","lineage":["https://openalex.org/I27570832"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Faten Albtoush","raw_affiliation_strings":["Faculty of Engineering, Civil Department, Jadara University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Civil Department, Jadara University","institution_ids":["https://openalex.org/I27570832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029384541","display_name":"Ja\u2019far A. Aldiabat Al-Btoosh","orcid":"https://orcid.org/0000-0001-5665-9283","observed_orcids":["https://orcid.org/0000-0001-5665-9283"]},"institutions":[{"id":"https://openalex.org/I153687341","display_name":"Zarqa University","ror":"https://ror.org/01wf1es90","country_code":"JO","type":"education","lineage":["https://openalex.org/I153687341"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ja\u2019far A. Aldiabat Al-Btoosh","raw_affiliation_strings":["Faculty of Engineering Technology, Zarqa University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Technology, Zarqa University","institution_ids":["https://openalex.org/I153687341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062215991","display_name":"Taiseer Mustafa Rawashdeh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196431481","display_name":"Isra University","ror":"https://ror.org/04rmz8121","country_code":"PK","type":"education","lineage":["https://openalex.org/I196431481"]},{"id":"https://openalex.org/I92449659","display_name":"Isra University","ror":"https://ror.org/04d4bt482","country_code":"JO","type":"education","lineage":["https://openalex.org/I92449659"]}],"countries":["JO","PK"],"is_corresponding":false,"raw_author_name":"Taiseer Mustafa Rawashdeh","raw_affiliation_strings":["Faculty of Engineering, Isra University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Isra University","institution_ids":["https://openalex.org/I196431481","https://openalex.org/I92449659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037655156","display_name":"Mohammed A.KA. Al-Btoush","orcid":"https://orcid.org/0000-0001-7006-7321","observed_orcids":["https://orcid.org/0000-0001-7006-7321"]},"institutions":[{"id":"https://openalex.org/I196431481","display_name":"Isra University","ror":"https://ror.org/04rmz8121","country_code":"PK","type":"education","lineage":["https://openalex.org/I196431481"]},{"id":"https://openalex.org/I92449659","display_name":"Isra University","ror":"https://ror.org/04d4bt482","country_code":"JO","type":"education","lineage":["https://openalex.org/I92449659"]}],"countries":["JO","PK"],"is_corresponding":true,"raw_author_name":"Mohammed A. K. A. Al-Btoush","raw_affiliation_strings":["Faculty of Engineering, Isra University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Isra University","institution_ids":["https://openalex.org/I196431481","https://openalex.org/I92449659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037655156"],"corresponding_institution_ids":["https://openalex.org/I196431481","https://openalex.org/I92449659"],"apc_list":{"value":1950,"currency":"CHF","value_usd":2353},"apc_paid":{"value":1950,"currency":"CHF","value_usd":2353},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1846388","last_page":"1846388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.7378000020980835,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.7378000020980835,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10395","display_name":"Construction Project Management and Performance","score":0.25999999046325684,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14058","display_name":"Value Engineering and Management","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and 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/building-information-modeling","display_name":"building information modeling","score":0.8690000176429749},{"id":"https://openalex.org/keywords/construction-risk","display_name":"construction risk","score":0.8790000081062317},{"id":"https://openalex.org/keywords/schedule-delays","display_name":"schedule delays","score":0.953000009059906},{"id":"https://openalex.org/keywords/cost-overruns","display_name":"cost overruns","score":0.9950000047683716},{"id":"https://openalex.org/keywords/expert-elicitation","display_name":"expert elicitation","score":0.7350000143051147},{"id":"https://openalex.org/keywords/bayesian-networks","display_name":"Bayesian networks","score":0.824999988079071},{"id":"https://openalex.org/keywords/bayesian-hierarchical-model","display_name":"Bayesian hierarchical model","score":0.6779999732971191},{"id":"https://openalex.org/keywords/technology-adoption","display_name":"technology adoption","score":0.718999981880188},{"id":"https://openalex.org/keywords/reinforced-concrete-buildings","display_name":"reinforced concrete buildings","score":0.6589999794960022},{"id":"https://openalex.org/keywords/jordanian-construction-industry","display_name":"Jordanian construction industry","score":0.6620000004768372},{"id":"https://openalex.org/keywords/decision-support","display_name":"decision support","score":0.6129999756813049},{"id":"https://openalex.org/keywords/organizational-readiness","display_name":"organizational readiness","score":0.699999988079071},{"id":"https://openalex.org/keywords/artificial-intelligence-in-design","display_name":"AI-assisted design","score":0.5659999847412109}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7346000075340271},{"id":"https://openalex.org/C72161134","wikidata":"https://www.wikidata.org/wiki/Q5421219","display_name":"Expert elicitation","level":2,"score":0.7251999974250793},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4875999987125397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47360000014305115},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.4578999876976013},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.4189000129699707},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.40119999647140503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3614000082015991},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34630000591278076},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.34470000863075256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3416000008583069},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32510000467300415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32350000739097595},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C2778865806","wikidata":"https://www.wikidata.org/wiki/Q6060850","display_name":"Investment decisions","level":3,"score":0.3160000145435333},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.29260000586509705},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.2842000126838684},{"id":"https://openalex.org/C66862320","wikidata":"https://www.wikidata.org/wiki/Q842017","display_name":"Building information modeling","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C60641444","wikidata":"https://www.wikidata.org/wiki/Q841602","display_name":"Delphi method","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2565999925136566}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frai.2026.1846388","doi":"https://doi.org/10.3389/frai.2026.1846388","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2026.1846388","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1846388/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13550160","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13550160/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13550160/pdf/frai-09-1846388.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Front Artif Intell","raw_type":"Text"},{"id":"pmid:42712467","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42712467","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in artificial intelligence","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:7381491a15544a94bff78f10a1457787","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/7381491a15544a94bff78f10a1457787","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Artificial Intelligence, Vol 9 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frai.2026.1846388","doi":"https://doi.org/10.3389/frai.2026.1846388","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2026.1846388","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1846388/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204188459.pdf","grobid_xml":"https://content.openalex.org/works/W7204188459.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2045249324","https://openalex.org/W2045656233","https://openalex.org/W2143891888","https://openalex.org/W2184633187","https://openalex.org/W3013120860","https://openalex.org/W3039763960","https://openalex.org/W3107782157","https://openalex.org/W4372313976","https://openalex.org/W4406213838","https://openalex.org/W4413948409","https://openalex.org/W4415320534","https://openalex.org/W4416576401","https://openalex.org/W7124830140","https://openalex.org/W7130366650","https://openalex.org/W7163523495"],"related_works":["https://openalex.org/W7164495548","https://openalex.org/W7165364986","https://openalex.org/W4411008228","https://openalex.org/W7164127450","https://openalex.org/W7125904428","https://openalex.org/W4410907053","https://openalex.org/W7115011997","https://openalex.org/W7149531929","https://openalex.org/W7104273229","https://openalex.org/W7129421509"],"abstract_inverted_index":{"Building":[0,24],"projects":[1],"in":[2,51,100,235],"Jordan":[3],"routinely":[4],"experience":[5],"substantial":[6],"schedule":[7,195],"delays":[8,196],"and":[9,23,68,89,95,157,170,173,198,232,246],"cost":[10,199],"overruns,":[11],"yet":[12],"robust":[13],"empirical":[14],"evidence":[15],"on":[16,74],"the":[17,192,240],"impacts":[18],"of":[19,40,160,194,242],"Artificial":[20],"Intelligence":[21],"(AI)":[22],"Information":[25,162],"Modelling":[26],"(BIM)-based":[27],"Digital":[28,44,187],"Twins":[29,188],"remains":[30],"scarce.":[31],"This":[32],"study":[33,102],"develops":[34],"a":[35,137],"belief-based,":[36,205],"probabilistic":[37],"causal":[38,75],"model":[39],"how":[41],"AI-enabled":[42,185],"BIM":[43,84,186],"Twin":[45],"technologies":[46],"may":[47],"affect":[48],"time-cost":[49],"risks":[50],"Jordanian":[52],"reinforced-concrete":[53],"building":[54],"projects.":[55],"Using":[56],"structured":[57],"expert":[58,72,106,121,143,211],"elicitation":[59],"with":[60],"600":[61],"experienced":[62],"practitioners":[63],"(contractors,":[64],"consultants,":[65],"project":[66,93,148],"managers,":[67],"academics),":[69],"we":[70],"capture":[71],"judgements":[73],"links":[76],"between":[77],"four":[78],"technology":[79,250],"clusters-AI-based":[80],"progress":[81],"detection,":[82],"contract-aware":[83],"assistants,":[85],"predictive":[86],"cost-schedule":[87],"twins,":[88],"AI-assisted":[90],"design/constructability-and":[91],"key":[92],"mechanisms":[94],"outcomes.":[96],"All":[97],"quantitative":[98],"results":[99,116],"this":[101],"come":[103],"from":[104,210],"these":[105],"judgements;":[107],"no":[108],"project-level":[109],"before-after":[110],"performance":[111],"data":[112],"are":[113,117,164,204],"used.":[114],"Accordingly,":[115],"reported":[118],"as":[119,224],"pooled":[120],"beliefs":[122],"under":[123,181],"stated":[124],"scenarios,":[125],"not":[126,213],"empirically":[127,214],"validated":[128,217],"predictions.":[129],"Hierarchical":[130],"Bayesian":[131,138,220],"models":[132],"pool":[133],"elicited":[134],"probabilities":[135,193],"into":[136],"Network":[139,221],"(BN)":[140],"representing":[141],"collective":[142],"beliefs,":[144],"rather":[145],"than":[146],"observed":[147],"performance.":[149],"Monte":[150],"Carlo":[151],"simulations,":[152],"Global":[153],"Sensitivity":[154],"Analysis":[155],"(GSA),":[156],"Expected":[158],"Value":[159],"Perfect":[161],"(EVPI)":[163],"then":[165],"used":[166],"to":[167,174],"explore":[168],"technology-adoption":[169],"policy":[171,231],"scenarios":[172],"rank":[175],"influential":[176],"levers.":[177],"Experts":[178],"believe":[179],"that,":[180],"idealized,":[182],"high-readiness":[183],"conditions,":[184],"could":[189],"sharply":[190],"reduce":[191],">20%":[197],"overruns":[200],">10%.":[201],"These":[202],"figures":[203],"optimistic":[206],"upper-bound":[207],"expectations":[208],"derived":[209],"judgement,":[212],"measured":[215],"or":[216],"impacts.":[218],"The":[219],"therefore":[222],"serves":[223],"an":[225],"uncertainty-aware":[226],"decision-support":[227],"tool":[228],"for":[229],"early":[230],"investment":[233],"decisions":[234],"data-poor":[236],"contexts.":[237],"It":[238],"highlights":[239],"roles":[241],"training,":[243],"organizational":[244],"readiness,":[245],"client":[247],"demand":[248],"alongside":[249],"adoption.":[251]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2026-08-26T00:00:00"}
