{"id":"https://openalex.org/W3045409997","doi":"https://doi.org/10.1007/s11042-020-09144-6","title":"NDNetGaming - development of a no-reference deep CNN for gaming video quality prediction","display_name":"NDNetGaming - development of a no-reference deep CNN for gaming video quality prediction","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3045409997","doi":"https://doi.org/10.1007/s11042-020-09144-6","mag":"3045409997"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-020-09144-6","doi":"https://doi.org/10.1007/s11042-020-09144-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09144-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09144-6.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09144-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034058972","display_name":"Markus Utke","orcid":null,"observed_orcids":[]},"institutions":[{"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":"Markus Utke","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038733416","display_name":"Saman Zadtootaghaj","orcid":"https://orcid.org/0000-0002-6028-8507","observed_orcids":["https://orcid.org/0000-0002-6028-8507"]},"institutions":[{"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":"Saman Zadtootaghaj","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6028-8507","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047487781","display_name":"Steven Schmidt","orcid":"https://orcid.org/0000-0001-6620-1997","observed_orcids":["https://orcid.org/0000-0001-6620-1997"]},"institutions":[{"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":"Steven Schmidt","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020506776","display_name":"Sebastian Bosse","orcid":"https://orcid.org/0000-0002-8104-3904","observed_orcids":["https://orcid.org/0000-0002-8104-3904"]},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Bosse","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075001284","display_name":"Sebastian M\u00f6ller","orcid":"https://orcid.org/0000-0003-3057-0760","observed_orcids":["https://orcid.org/0000-0003-3057-0760"]},"institutions":[{"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":"Sebastian M\u00f6ller","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038733416"],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":{"value":2750,"currency":"USD","value_usd":2750},"apc_paid":{"value":2750,"currency":"USD","value_usd":2750},"fwci":2.6041,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.90639507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"81","issue":"3","first_page":"3181","last_page":"3203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/vmaf","display_name":"VMAF","score":0.8090000152587891},{"id":"https://openalex.org/keywords/densenet","display_name":"DenseNet","score":0.8109999895095825},{"id":"https://openalex.org/keywords/temporal-pooling","display_name":"temporal pooling","score":0.7360000014305115},{"id":"https://openalex.org/keywords/cloud-gaming","display_name":"cloud gaming","score":0.6610000133514404},{"id":"https://openalex.org/keywords/video-streaming","display_name":"video streaming","score":0.6000000238418579},{"id":"https://openalex.org/keywords/synthetic-content","display_name":"synthetic content","score":0.47999998927116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9130849838256836},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7044355869293213},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.7003661394119263},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6754437685012817},{"id":"https://openalex.org/C114227958","wikidata":"https://www.wikidata.org/wiki/Q7631422","display_name":"Subjective video quality","level":4,"score":0.6313974261283875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918117165565491},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5730783939361572},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.41712701320648193},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.415408730506897},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.40851134061813354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3958200216293335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3394404649734497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.264336496591568},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.15988394618034363},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10994032025337219},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s11042-020-09144-6","doi":"https://doi.org/10.1007/s11042-020-09144-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09144-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09144-6.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},{"id":"pmh:oai:depositonce.tu-berlin.de:11303/12852","doi":null,"is_oa":true,"landing_page_url":"https://depositonce.tu-berlin.de/handle/11303/12852","pdf_url":null,"source":{"id":"https://openalex.org/S4406922277","display_name":"DepositOnce","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:fraunhofer.de:N-602631","doi":null,"is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-602631.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"Fraunhofer HHI","raw_type":"Journal Article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/264235","doi":null,"is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/264235","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"journal article"},{"id":"doi:10.14279/depositonce-11652","doi":"https://doi.org/10.14279/depositonce-11652","is_oa":true,"landing_page_url":"https://doi.org/10.14279/depositonce-11652","pdf_url":null,"source":{"id":"https://openalex.org/S7407052985","display_name":"Technische Universit\u00e4t Berlin \u2013 Universit\u00e4tsbibliothek","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4577782","host_organization_name":"Technische Universit\u00e4t Berlin","host_organization_lineage":["https://openalex.org/I4577782"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.1007/s11042-020-09144-6","doi":"https://doi.org/10.1007/s11042-020-09144-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09144-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09144-6.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2925976288","display_name":"Adaptive edge/cloud compute and network continuum over a heterogeneous sparse edge infrastructure to support nextgen applications","funder_award_id":"871793","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045409997.pdf","grobid_xml":"https://content.openalex.org/works/W3045409997.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1982471090","https://openalex.org/W1994719915","https://openalex.org/W2001435277","https://openalex.org/W2083610878","https://openalex.org/W2102166818","https://openalex.org/W2117539524","https://openalex.org/W2161907179","https://openalex.org/W2194775991","https://openalex.org/W2395579298","https://openalex.org/W2531409750","https://openalex.org/W2546855109","https://openalex.org/W2563786098","https://openalex.org/W2735448770","https://openalex.org/W2736492128","https://openalex.org/W2754213847","https://openalex.org/W2768340063","https://openalex.org/W2809031010","https://openalex.org/W2809703252","https://openalex.org/W2889783056","https://openalex.org/W2891239219","https://openalex.org/W2900852030","https://openalex.org/W2905530235","https://openalex.org/W2910270360","https://openalex.org/W2948397451","https://openalex.org/W2954037246","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2975575891","https://openalex.org/W2998761525","https://openalex.org/W3030933397","https://openalex.org/W4238663968","https://openalex.org/W4246387884"],"related_works":["https://openalex.org/W3021061408","https://openalex.org/W4323914167","https://openalex.org/W3115006295","https://openalex.org/W2954037246","https://openalex.org/W2948397451","https://openalex.org/W7162210033","https://openalex.org/W4226272040","https://openalex.org/W3116791087","https://openalex.org/W4417299941","https://openalex.org/W2968404463"],"abstract_inverted_index":{"Abstract":[0],"Gaming":[1],"video":[2,15,38,73,125,203,232,281,309],"streaming":[3,16],"services":[4,11],"are":[5],"growing":[6],"rapidly":[7],"due":[8],"to":[9,36,69,122,196,235],"new":[10,60,118],"such":[12,45],"as":[13,22,24,46,101],"passive":[14],"of":[17,65,184,199,202,211,219,238,242,258,268,272,299,303],"gaming":[18,40,124,261,308],"content,":[19,39,57],"e.g.":[20,27],"Twitch.tv,":[21],"well":[23,146],"cloud":[25],"gaming,":[26],"Nvidia":[28],"GeForce":[29],"NOW":[30],"and":[31,49,55,74,104,144,213,240,270,301],"Google":[32],"Stadia.":[33],"In":[34,84,113],"contrast":[35],"traditional":[37],"content":[41,54,262],"has":[42],"special":[43,50,80],"characteristics":[44],"extremely":[47],"high":[48,193],"motion":[51],"patterns,":[52],"synthetic":[53],"repetitive":[56],"which":[58,263],"poses":[59],"opportunities":[61],"for":[62,78,168,244,305],"the":[63,71,132,147,174,179,222,231,245,251,280,284,288,306],"design":[64],"machine":[66],"learning-based":[67],"models":[68],"outperform":[70],"state-of-the-art":[72],"image":[75,110,169,223],"quality":[76,98,111,126,170,256],"approaches":[77],"this":[79,85],"computer":[81],"generated":[82],"content.":[83],"paper,":[86],"we":[87,115,163,190,249],"train":[88],"a":[89,117,192,206,227,236,266,291,297],"Convolutional":[90],"Neural":[91],"Network":[92],"(CNN)":[93],"based":[94,107,127,172,186,253],"on":[95,108,128,150,173,187,221,230,254,279],"an":[96,137],"objective":[97],"model,":[99],"VMAF,":[100],"ground":[102],"truth":[103],"fine-tuned":[105,250],"it":[106],"subjective":[109,255],"ratings.":[112],"addition,":[114],"propose":[116],"temporal":[119],"pooling":[120,286],"method":[121],"predict":[123,197],"frame-level":[129],"predictions.":[130],"Finally,":[131,278],"paper":[133],"also":[134],"describes":[135],"how":[136,145],"appropriate":[138],"CNN":[139],"architecture":[140],"can":[141],"be":[142],"chosen":[143],"model":[148,195,252,289],"performs":[149,166],"different":[151],"contents.":[152],"Our":[153],"result":[154],"shows":[155],"that":[156,162],"among":[157],"four":[158],"popular":[159],"network":[160],"architectures":[161],"investigated,":[164],"DenseNet":[165,185],"best":[167],"assessment":[171],"training":[175,178],"dataset.":[176,247,310],"By":[177],"last":[180],"57":[181],"convolutional":[182],"layers":[183],"VMAF":[188,198],"values,":[189],"obtained":[191],"performance":[194,229,294],"distorted":[200],"frames":[201],"games":[204],"with":[205],"Spearman\u2019s":[207],"Rank":[208],"correlation":[209],"(SRCC)":[210],"0.945":[212],"Root":[214],"Mean":[215],"Score":[216],"Error":[217],"(RMSE)":[218],"7.07":[220],"level,":[224,282],"while":[225],"achieving":[226],"higher":[228],"level":[233],"leading":[234],"SRCC":[237,267,298],"0.967":[239],"RMSE":[241,271,302],"5.47":[243],"KUGVD":[246],"Furthermore,":[248],"ratings":[257],"images":[259],"from":[260],"resulted":[264],"in":[265],"0.93":[269],"0.46":[273],"using":[274,283],"one-hold-out":[275],"cross":[276],"validation.":[277],"proposed":[285],"method,":[287],"achieves":[290],"very":[292],"good":[293],"indicated":[295],"by":[296],"0.968":[300],"0.30":[304],"used":[307]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-07-29T00:00:00"}
