{"id":"https://openalex.org/W4414445035","doi":"https://doi.org/10.1016/j.envsoft.2025.106700","title":"Pitfalls of XAI interpretation in environmental modeling: A warning on model bias in air quality data analysis","display_name":"Pitfalls of XAI interpretation in environmental modeling: A warning on model bias in air quality data analysis","publication_year":2025,"publication_date":"2025-09-23","ids":{"openalex":"https://openalex.org/W4414445035","doi":"https://doi.org/10.1016/j.envsoft.2025.106700"},"language":"en","primary_location":{"id":"doi:10.1016/j.envsoft.2025.106700","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.envsoft.2025.106700","pdf_url":null,"source":{"id":"https://openalex.org/S113611870","display_name":"Environmental Modelling & Software","issn_l":"1364-8152","issn":["1364-8152","1873-6726"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environmental Modelling & Software","raw_type":"journal-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/A5088631651","display_name":"Souichi Oka","orcid":"https://orcid.org/0009-0000-4840-5232"},"institutions":[{"id":"https://openalex.org/I120611246","display_name":"Obayashi (Japan)","ror":"https://ror.org/027qqvd10","country_code":"JP","type":"company","lineage":["https://openalex.org/I120611246"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Souichi Oka","raw_affiliation_strings":["Science Park Corporation, 3-24-9 Iriya-Nishi, Zama-shi, Kanagawa, 252-0029, Japan"],"affiliations":[{"raw_affiliation_string":"Science Park Corporation, 3-24-9 Iriya-Nishi, Zama-shi, Kanagawa, 252-0029, Japan","institution_ids":["https://openalex.org/I120611246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114072638","display_name":"Takuma Yamazaki","orcid":null},"institutions":[{"id":"https://openalex.org/I120611246","display_name":"Obayashi (Japan)","ror":"https://ror.org/027qqvd10","country_code":"JP","type":"company","lineage":["https://openalex.org/I120611246"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuma Yamazaki","raw_affiliation_strings":["Science Park Corporation, 3-24-9 Iriya-Nishi, Zama-shi, Kanagawa, 252-0029, Japan"],"affiliations":[{"raw_affiliation_string":"Science Park Corporation, 3-24-9 Iriya-Nishi, Zama-shi, Kanagawa, 252-0029, Japan","institution_ids":["https://openalex.org/I120611246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050160318","display_name":"Yoshiyasu Takefuji","orcid":"https://orcid.org/0000-0002-1826-742X"},"institutions":[{"id":"https://openalex.org/I200641316","display_name":"Musashino University","ror":"https://ror.org/04bcbax71","country_code":"JP","type":"education","lineage":["https://openalex.org/I200641316"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiyasu Takefuji","raw_affiliation_strings":["Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo, 135-8181, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo, 135-8181, Japan","institution_ids":["https://openalex.org/I200641316"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088631651"],"corresponding_institution_ids":["https://openalex.org/I120611246"],"apc_list":{"value":3400,"currency":"USD","value_usd":3400},"apc_paid":null,"fwci":2.4849,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91568298,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"194","issue":null,"first_page":"106700","last_page":"106700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.972599983215332,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.972599983215332,"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"}},{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9595000147819519,"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"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7829999923706055},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5776000022888184},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4787999987602234},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.4657000005245209},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4498000144958496},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43650001287460327},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.41119998693466187},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.35420000553131104},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.34540000557899475}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7829999923706055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837000012397766},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5776000022888184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5120000243186951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927000105381012},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4787999987602234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47589999437332153},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4498000144958496},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37940001487731934},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.32670000195503235},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2653999924659729},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.26019999384880066},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25949999690055847},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.envsoft.2025.106700","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.envsoft.2025.106700","pdf_url":null,"source":{"id":"https://openalex.org/S113611870","display_name":"Environmental Modelling & Software","issn_l":"1364-8152","issn":["1364-8152","1873-6726"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environmental Modelling & Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2150577353","https://openalex.org/W2969476445","https://openalex.org/W3043513630","https://openalex.org/W3047598231","https://openalex.org/W3138819813","https://openalex.org/W3200824799","https://openalex.org/W3217644357","https://openalex.org/W4226427511","https://openalex.org/W4281700759","https://openalex.org/W4385955311","https://openalex.org/W4387117479","https://openalex.org/W4387435245","https://openalex.org/W4390604658","https://openalex.org/W4390807477","https://openalex.org/W4391533517","https://openalex.org/W4399302747","https://openalex.org/W4400829948","https://openalex.org/W4401328090","https://openalex.org/W4401338723","https://openalex.org/W4401409801","https://openalex.org/W4401951602","https://openalex.org/W4401995604","https://openalex.org/W4404701815","https://openalex.org/W4406682648","https://openalex.org/W4406890695","https://openalex.org/W4408473414","https://openalex.org/W4409359234","https://openalex.org/W4409686371"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}