{"id":"https://openalex.org/W3007750971","doi":"https://doi.org/10.1021/acs.jcim.0c00459","title":"ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning","display_name":"ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3007750971","doi":"https://doi.org/10.1021/acs.jcim.0c00459","mag":"3007750971","pmid":"https://pubmed.ncbi.nlm.nih.gov/32924466"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.0c00459","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.0c00459","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.09914","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013370800","display_name":"Martijn Oldenhof","orcid":"https://orcid.org/0000-0003-4916-3014"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Martijn Oldenhof","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-4916-3014","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025431904","display_name":"\u00c1d\u00e1m Arany","orcid":"https://orcid.org/0000-0002-4901-7650"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Adam Arany","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041984163","display_name":"Yves Moreau","orcid":"https://orcid.org/0000-0002-4647-6560"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Yves Moreau","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048408288","display_name":"Jaak Simm","orcid":"https://orcid.org/0000-0002-5543-993X"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Jaak Simm","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013370800","https://openalex.org/A5025431904","https://openalex.org/A5041984163","https://openalex.org/A5048408288"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":7.7271,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.9780652,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"60","issue":"10","first_page":"4506","last_page":"4517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984153985977173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6047908067703247},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5754640698432922},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.5706753134727478},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5412447452545166},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5276390910148621},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45283058285713196},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44798097014427185},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4408211410045624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3963885009288788},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29614293575286865},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.22279390692710876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984153985977173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047908067703247},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5754640698432922},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.5706753134727478},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5412447452545166},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5276390910148621},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45283058285713196},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44798097014427185},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4408211410045624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3963885009288788},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29614293575286865},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.22279390692710876},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1021/acs.jcim.0c00459","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.0c00459","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:32924466","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32924466","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,"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":"Journal of chemical information and modeling","raw_type":null},{"id":"pmh:oai:arXiv.org:2002.09914","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.09914","pdf_url":"https://arxiv.org/pdf/2002.09914","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/661580","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/661580","pdf_url":"https://lirias.kuleuven.be/retrieve/8170cb50-cd5b-4d73-bb65-0766e49918d5","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"Journal Of Chemical Information And Modeling, vol. 60 (10), (4506-4517)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.09914","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.09914","pdf_url":"https://arxiv.org/pdf/2002.09914","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1679897353","display_name":null,"funder_award_id":"FWO 06260","funder_id":"https://openalex.org/F4320321732","funder_display_name":"Agentschap voor Innovatie door Wetenschap en Technologie"},{"id":"https://openalex.org/G3032272335","display_name":null,"funder_award_id":"C14/18/092 Sym-BioSys3","funder_id":"https://openalex.org/F4320322681","funder_display_name":"Onderzoeksraad, KU Leuven"},{"id":"https://openalex.org/G324259913","display_name":null,"funder_award_id":"C14/18/092","funder_id":"https://openalex.org/F4320322308","funder_display_name":"KU Leuven"},{"id":"https://openalex.org/G7517242433","display_name":null,"funder_award_id":"VR 2019 2203","funder_id":"https://openalex.org/F4320327336","funder_display_name":"Vlaamse regering"},{"id":"https://openalex.org/G8662671401","display_name":null,"funder_award_id":"FWO 06260","funder_id":"https://openalex.org/F4320327336","funder_display_name":"Vlaamse regering"}],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320321732","display_name":"Agentschap voor Innovatie door Wetenschap en Technologie","ror":"https://ror.org/01antkr91"},{"id":"https://openalex.org/F4320322308","display_name":"KU Leuven","ror":"https://ror.org/05f950310"},{"id":"https://openalex.org/F4320322681","display_name":"Onderzoeksraad, KU Leuven","ror":"https://ror.org/05f950310"},{"id":"https://openalex.org/F4320326631","display_name":"Innovative Medicines Initiative","ror":"https://ror.org/019af4n30"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1538131130","https://openalex.org/W1901129140","https://openalex.org/W1966456689","https://openalex.org/W1975147762","https://openalex.org/W1976144034","https://openalex.org/W2009867031","https://openalex.org/W2021662118","https://openalex.org/W2051554764","https://openalex.org/W2051810242","https://openalex.org/W2107878631","https://openalex.org/W2160592517","https://openalex.org/W2176412452","https://openalex.org/W2194775991","https://openalex.org/W2290847742","https://openalex.org/W2395611524","https://openalex.org/W2464708700","https://openalex.org/W2529996553","https://openalex.org/W2531409750","https://openalex.org/W2541674938","https://openalex.org/W2558999090","https://openalex.org/W2685808923","https://openalex.org/W2735246657","https://openalex.org/W2749279690","https://openalex.org/W2774320778","https://openalex.org/W2774707525","https://openalex.org/W2790808809","https://openalex.org/W2901476322","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2963150697","https://openalex.org/W2963734039","https://openalex.org/W2963840672","https://openalex.org/W2964113829","https://openalex.org/W2966848621","https://openalex.org/W3085073558","https://openalex.org/W3098269892","https://openalex.org/W3100157108","https://openalex.org/W4297730588"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4375867731","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385"],"abstract_inverted_index":{"In":[0,112,125],"drug":[1,71],"discovery,":[2],"knowledge":[3],"of":[4,8,15,35,38,91,94,162,187,200,217],"the":[5,33,36,92,105,122,184,188,201,205,223,227],"graph":[6,61,185,203],"structure":[7,37,62,186],"chemical":[9,27,40,60],"compounds":[10,41],"is":[11,210],"essential.":[12],"Many":[13],"thousands":[14,216],"scientific":[16],"articles":[17],"and":[18,22,55,79,109,176,212,231],"patents":[19],"in":[20,30,103,121],"chemistry":[21],"pharmaceutical":[23],"sciences":[24],"have":[25],"investigated":[26],"compounds,":[28],"but":[29,190],"many":[31,67],"cases,":[32],"details":[34],"these":[39,52,95,130],"are":[42,77,81],"published":[43],"only":[44,182],"as":[45,70],"an":[46],"image.":[47,207],"A":[48,73],"tool":[49,229],"to":[50,118,196,204],"analyze":[51],"images":[53],"automatically":[54],"convert":[56],"them":[57],"into":[58],"a":[59,134,146,163],"would":[63],"be":[64],"useful":[65],"for":[66,151],"applications,":[68],"such":[69,75],"discovery.":[72],"few":[74],"tools":[76,96],"available":[78],"they":[80,99],"mostly":[82],"derived":[83],"from":[84],"optical":[85,152],"character":[86],"recognition.":[87,154],"However,":[88],"our":[89,126],"evaluation":[90],"performance":[93],"reveals":[97],"that":[98,171],"often":[100],"make":[101],"mistakes":[102],"recognizing":[104],"correct":[106],"bond":[107],"multiplicity":[108],"stereochemical":[110],"information.":[111],"addition,":[113],"errors":[114],"sometimes":[115],"even":[116],"lead":[117],"missing":[119],"atoms":[120],"resulting":[123,202],"graph.":[124],"work,":[127],"we":[128,144,220],"address":[129],"issues":[131],"by":[132,167],"developing":[133],"compound":[135,153],"recognition":[136],"method":[137,225],"based":[138],"on":[139],"machine":[140],"learning.":[141],"More":[142],"specifically,":[143],"develop":[145],"deep":[147,156],"neural":[148],"network":[149],"model":[150,180],"The":[155],"learning":[157],"solution":[158,209],"presented":[159],"here":[160],"consists":[161],"segmentation":[164],"model,":[165],"followed":[166],"three":[168],"classification":[169],"models":[170],"predict":[172],"atom":[173],"locations,":[174],"bonds,":[175],"charges.":[177],"Furthermore,":[178],"this":[179],"not":[181],"predicts":[183],"molecule":[189],"also":[191],"provides":[192],"all":[193],"information":[194],"necessary":[195],"relate":[197],"each":[198],"component":[199],"source":[206],"This":[208],"scalable":[211],"can":[213],"rapidly":[214],"process":[215],"images.":[218],"Finally,":[219],"empirically":[221],"compare":[222],"proposed":[224],"with":[226],"well-established":[228],"OSRA1":[230],"observe":[232],"significant":[233],"error":[234],"reduction.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}