{"id":"https://openalex.org/W4415079859","doi":"https://doi.org/10.1007/978-3-032-08327-2_14","title":"Uncovering the Structure of Explanation Quality with Spectral Analysis","display_name":"Uncovering the Structure of Explanation Quality with Spectral Analysis","publication_year":2025,"publication_date":"2025-10-11","ids":{"openalex":"https://openalex.org/W4415079859","doi":"https://doi.org/10.1007/978-3-032-08327-2_14"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-08327-2_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08327-2_14","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08327-2_14.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08327-2_14.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119956346","display_name":"Johannes Mae\u00df","orcid":null},"institutions":[{"id":"https://openalex.org/I4401727010","display_name":"Berlin Institute for the Foundations of Learning and Data","ror":"https://ror.org/05dsfb086","country_code":null,"type":"facility","lineage":["https://openalex.org/I4401727010","https://openalex.org/I4577782","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Johannes Mae\u00df","raw_affiliation_strings":["BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","Machine Learning Group, TU Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","institution_ids":["https://openalex.org/I4401727010"]},{"raw_affiliation_string":"Machine Learning Group, TU Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026240645","display_name":"Gr\u00e9goire Montavon","orcid":"https://orcid.org/0000-0001-7243-6186"},"institutions":[{"id":"https://openalex.org/I4401727010","display_name":"Berlin Institute for the Foundations of Learning and Data","ror":"https://ror.org/05dsfb086","country_code":null,"type":"facility","lineage":["https://openalex.org/I4401727010","https://openalex.org/I4577782","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gr\u00e9goire Montavon","raw_affiliation_strings":["BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","institution_ids":["https://openalex.org/I4401727010"]},{"raw_affiliation_string":"Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034738514","display_name":"Shinichi Nakajima","orcid":"https://orcid.org/0000-0003-3970-4569"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I4401727010","display_name":"Berlin Institute for the Foundations of Learning and Data","ror":"https://ror.org/05dsfb086","country_code":null,"type":"facility","lineage":["https://openalex.org/I4401727010","https://openalex.org/I4577782","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE","JP"],"is_corresponding":false,"raw_author_name":"Shinichi Nakajima","raw_affiliation_strings":["BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","Machine Learning Group, TU Berlin, Berlin, Germany","RIKEN AIP, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","institution_ids":["https://openalex.org/I4401727010"]},{"raw_affiliation_string":"Machine Learning Group, TU Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"RIKEN AIP, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072994165","display_name":"Klaus-Robert M\u00fcller","orcid":"https://orcid.org/0000-0002-3861-7685"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]},{"id":"https://openalex.org/I4401727010","display_name":"Berlin Institute for the Foundations of Learning and Data","ror":"https://ror.org/05dsfb086","country_code":null,"type":"facility","lineage":["https://openalex.org/I4401727010","https://openalex.org/I4577782","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE","KR"],"is_corresponding":false,"raw_author_name":"Klaus-Robert M\u00fcller","raw_affiliation_strings":["BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","Department of Artificial Intelligence, Korea University, Seoul, Korea","Machine Learning Group, TU Berlin, Berlin, Germany","Max-Planck Institute for Informatics, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","institution_ids":["https://openalex.org/I4401727010"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Machine Learning Group, TU Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Max-Planck Institute for Informatics, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045314117","display_name":"Thomas Schnake","orcid":"https://orcid.org/0009-0006-3768-0259"},"institutions":[{"id":"https://openalex.org/I4401727010","display_name":"Berlin Institute for the Foundations of Learning and Data","ror":"https://ror.org/05dsfb086","country_code":null,"type":"facility","lineage":["https://openalex.org/I4401727010","https://openalex.org/I4577782","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Schnake","raw_affiliation_strings":["BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","Machine Learning Group, TU Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"BIFOLD \u2013 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany","institution_ids":["https://openalex.org/I4401727010"]},{"raw_affiliation_string":"Machine Learning Group, TU Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119956346"],"corresponding_institution_ids":["https://openalex.org/I4401727010","https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46435988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9988999962806702,"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":0.9988999962806702,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9567999839782715,"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/metric","display_name":"Metric (unit)","score":0.7163000106811523},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6722000241279602},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6309000253677368},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.5590000152587891},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5159000158309937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580999732017517},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7163000106811523},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6722000241279602},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6309000253677368},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.5590000152587891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5573999881744385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.545199990272522},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C2985906921","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Spectral properties","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35440000891685486},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2558000087738037},{"id":"https://openalex.org/C23463724","wikidata":"https://www.wikidata.org/wiki/Q2308831","display_name":"Spectral method","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-08327-2_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08327-2_14","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08327-2_14.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-032-08327-2_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08327-2_14","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08327-2_14.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2990138748","display_name":null,"funder_award_id":"031L0207D","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G3031800739","display_name":null,"funder_award_id":"BIFOLD","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G3515117348","display_name":null,"funder_award_id":"01IS14013A-E","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G352791218","display_name":null,"funder_award_id":"(BMBF)","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G4334503846","display_name":null,"funder_award_id":"01GQ0850","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G4836120834","display_name":null,"funder_award_id":"01IS14013A","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G5168466499","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G5454750614","display_name":null,"funder_award_id":"01GQ1115","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5843873241","display_name":null,"funder_award_id":"01GQ1115","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G6072120315","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6125236940","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321373","funder_display_name":"Korea University"},{"id":"https://openalex.org/G634377861","display_name":null,"funder_award_id":"01GQ0850","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6689335287","display_name":null,"funder_award_id":"BIFOLD24B","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G6965103572","display_name":null,"funder_award_id":"BIFOLD25B","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7685055460","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G8458676037","display_name":null,"funder_award_id":"RS-2019-II190079","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G960095468","display_name":null,"funder_award_id":"RS-2019-II190079","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415079859.pdf","grobid_xml":"https://content.openalex.org/works/W4415079859.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1884349939","https://openalex.org/W1996796871","https://openalex.org/W2012875423","https://openalex.org/W2099001231","https://openalex.org/W2108598243","https://openalex.org/W2117686912","https://openalex.org/W2129888542","https://openalex.org/W2240067561","https://openalex.org/W2487898712","https://openalex.org/W2616247523","https://openalex.org/W2776207810","https://openalex.org/W2921802966","https://openalex.org/W2972854536","https://openalex.org/W2972914268","https://openalex.org/W2973136764","https://openalex.org/W2981731882","https://openalex.org/W3035460595","https://openalex.org/W3102564565","https://openalex.org/W3108823960","https://openalex.org/W3132191748","https://openalex.org/W3134751001","https://openalex.org/W4321786089","https://openalex.org/W4385805147","https://openalex.org/W4386076467","https://openalex.org/W4387873179","https://openalex.org/W4389775104","https://openalex.org/W4394773646","https://openalex.org/W4406097368"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"As":[1],"machine":[2],"learning":[3],"models":[4],"are":[5,14,22],"increasingly":[6],"considered":[7],"for":[8,134,145],"high-stakes":[9],"domains,":[10],"effective":[11],"explanation":[12,73,83,92,136],"methods":[13],"crucial":[15],"to":[16,24,35,49,75],"ensure":[17],"that":[18,113],"their":[19,41],"prediction":[20],"strategies":[21],"transparent":[23],"the":[25,28,78,122,139],"user.":[26],"Over":[27],"years,":[29],"numerous":[30],"metrics":[31],"have":[32],"been":[33],"proposed":[34],"assess":[36],"quality":[37],"of":[38,53,72,81,91,141],"explanations.":[39,147],"However,":[40],"practical":[42],"applicability":[43],"remains":[44],"unclear,":[45],"in":[46],"particular":[47],"due":[48],"a":[50,65,131],"limited":[51],"understanding":[52,135],"which":[54],"specific":[55],"aspects":[56],"each":[57],"metric":[58],"rewards.":[59],"In":[60],"this":[61],"paper":[62],"we":[63],"propose":[64],"new":[66],"framework":[67,129],"based":[68],"on":[69,107],"spectral":[70,104],"analysis":[71,86],"outcomes":[74],"systematically":[76],"capture":[77,121],"multifaceted":[79],"properties":[80],"different":[82],"techniques.":[84],"Our":[85],"uncovers":[87],"two":[88],"distinct":[89],"factors":[90],"quality-":[93],"stability":[94],"and":[95,110],"target":[96],"sensitivity":[97],"\u2013that":[98],"can":[99],"be":[100],"directly":[101],"observed":[102],"through":[103],"decomposition.":[105],"Experiments":[106],"both":[108],"MNIST":[109],"ImageNet":[111],"show":[112],"popular":[114],"evaluation":[115],"techniques":[116,144],"(e.g.,":[117],"pixel-flipping,":[118],"entropy)":[119],"partially":[120],"trade-offs":[123],"between":[124],"these":[125],"factors.":[126],"Overall,":[127],"our":[128],"provides":[130],"foundational":[132],"basis":[133],"quality,":[137],"guiding":[138],"development":[140],"more":[142],"reliable":[143],"evaluating":[146]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-12T00:00:00"}
