{"id":"https://openalex.org/W4407826184","doi":"https://doi.org/10.1109/access.2025.3544307","title":"Correlating Without Confidence: The Overlooked Role of Uncertainty When Ranking Objective Measures","display_name":"Correlating Without Confidence: The Overlooked Role of Uncertainty When Ranking Objective Measures","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407826184","doi":"https://doi.org/10.1109/access.2025.3544307"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3544307","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3544307","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3544307","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083473858","display_name":"Adam Zizien","orcid":"https://orcid.org/0000-0002-8612-0470"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Adam Zizien","raw_affiliation_strings":["Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-8612-0470","affiliations":[{"raw_affiliation_string":"Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071173925","display_name":"Karel Fliegel","orcid":"https://orcid.org/0000-0001-5737-6736"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Karel Fliegel","raw_affiliation_strings":["Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0001-5737-6736","affiliations":[{"raw_affiliation_string":"Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.1452,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.874677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"34903","last_page":"34914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.20489999651908875,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.20489999651908875,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.685533881187439},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6000391244888306},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.478603333234787},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3647853136062622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34068119525909424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32714956998825073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.192856103181839}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.685533881187439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6000391244888306},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.478603333234787},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3647853136062622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34068119525909424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32714956998825073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.192856103181839}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3544307","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3544307","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0e2c4e9126f34c70b4dc7fd576c117ef","is_oa":true,"landing_page_url":"https://doaj.org/article/0e2c4e9126f34c70b4dc7fd576c117ef","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 34903-34914 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3544307","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3544307","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G2408167576","display_name":null,"funder_award_id":"SGS23/186/OHK3/3T/13","funder_id":"https://openalex.org/F4320309972","funder_display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze"},{"id":"https://openalex.org/G3402133708","display_name":"Cooperation with International Research Centre in Area of Digital Communication Systems","funder_award_id":"LTT20004","funder_id":"https://openalex.org/F4320321005","funder_display_name":"Ministerstvo \u0160kolstv\u00ed, Ml\u00e1de\u017ee a T\u011blov\u00fdchovy"},{"id":"https://openalex.org/G6694567211","display_name":null,"funder_award_id":"SGS23/186/OHK3/3T/13","funder_id":"https://openalex.org/F4320311687","funder_display_name":"Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320309972","display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze","ror":"https://ror.org/03kqpb082"},{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320321005","display_name":"Ministerstvo \u0160kolstv\u00ed, Ml\u00e1de\u017ee a T\u011blov\u00fdchovy","ror":"https://ror.org/037n8p820"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W262141583","https://openalex.org/W1580389772","https://openalex.org/W1966359789","https://openalex.org/W1974013408","https://openalex.org/W1978813754","https://openalex.org/W1982471090","https://openalex.org/W2046119925","https://openalex.org/W2055757491","https://openalex.org/W2102166818","https://openalex.org/W2102591820","https://openalex.org/W2109683777","https://openalex.org/W2113973764","https://openalex.org/W2124215560","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2153777140","https://openalex.org/W2161907179","https://openalex.org/W2171349048","https://openalex.org/W2179992845","https://openalex.org/W2266594083","https://openalex.org/W2294731621","https://openalex.org/W2472413205","https://openalex.org/W2563786098","https://openalex.org/W2593711610","https://openalex.org/W2763110165","https://openalex.org/W2798581339","https://openalex.org/W2905544033","https://openalex.org/W2949121461","https://openalex.org/W2953590133","https://openalex.org/W2962785568","https://openalex.org/W2976516578","https://openalex.org/W2976809040","https://openalex.org/W3017136408","https://openalex.org/W3019533076","https://openalex.org/W3035712445","https://openalex.org/W3035719652","https://openalex.org/W3080513405","https://openalex.org/W3194280054","https://openalex.org/W4214745154","https://openalex.org/W4238491817","https://openalex.org/W4287888462","https://openalex.org/W4319878680","https://openalex.org/W4320018550","https://openalex.org/W4381432944","https://openalex.org/W4382462760","https://openalex.org/W4393078930","https://openalex.org/W4402491862","https://openalex.org/W4402580167","https://openalex.org/W6874220431","https://openalex.org/W6880703308"],"related_works":["https://openalex.org/W2995364151","https://openalex.org/W797163146","https://openalex.org/W2068023914","https://openalex.org/W1899429405","https://openalex.org/W2401903608","https://openalex.org/W4221078923","https://openalex.org/W2066458123","https://openalex.org/W3005777437","https://openalex.org/W1578234703","https://openalex.org/W2084691705"],"abstract_inverted_index":{"In":[0],"the":[1,29,68,109,116,166,171],"quality":[2,25,73,147],"assessment":[3],"of":[4,32,44,50,71,99,111,170],"multimedia":[5,24,72],"content,":[6],"correlating":[7],"objective":[8,51,133],"measures":[9,100,134,157],"with":[10],"subjective":[11,120],"assessments":[12],"is":[13,101],"standard":[14],"practice.":[15],"However,":[16],"unlike":[17],"fields":[18],"such":[19],"as":[20],"biology":[21],"and":[22,46,79,114,144],"psychology,":[23],"research":[26,177],"often":[27],"overlooks":[28],"crucial":[30],"aspect":[31],"confidence":[33,85],"intervals":[34,86],"in":[35,119,129,165],"these":[36],"correlations.":[37],"This":[38],"oversight":[39],"leads":[40],"to":[41,67,83,139,174],"an":[42],"underestimation":[43],"uncertainty":[45],"hinders":[47],"effective":[48],"comparison":[49],"measures.":[52],"We":[53,125],"propose":[54],"a":[55],"novel":[56],"approach":[57,107],"that":[58,152],"addresses":[59],"this":[60],"gap":[61],"by":[62,135],"adapting":[63],"established":[64],"statistical":[65],"methods":[66],"unique":[69],"challenges":[70],"assessment.":[74,148],"Our":[75,106,149],"method":[76,138,173],"integrates":[77],"bootstrapping":[78],"Monte":[80],"Carlo":[81],"simulations":[82],"estimate":[84],"for":[87,142],"correlation":[88],"coefficients,":[89],"even":[90],"when":[91],"only":[92],"summary":[93],"statistics":[94],"are":[95],"available.":[96],"The":[97],"ranking":[98],"done":[102],"using":[103],"Cliff\u2019s":[104],"delta.":[105],"enhances":[108],"precision":[110],"measure":[112],"comparisons":[113],"reveals":[115],"inherent":[117],"variability":[118],"ratings":[121],"across":[122],"diverse":[123],"datasets.":[124],"demonstrate":[126],"significant":[127],"improvements":[128],"discriminative":[130],"power":[131],"between":[132,156],"applying":[136],"our":[137],"common":[140],"databases":[141],"image":[143],"light":[145],"field":[146],"results":[150],"show":[151],"previously":[153],"assumed":[154],"differences":[155],"can":[158,178],"be":[159,179],"statistically":[160],"insignificant,":[161],"challenging":[162],"long-held":[163],"assumptions":[164],"field.":[167],"An":[168],"implementation":[169],"proposed":[172],"promote":[175],"reproducible":[176],"found":[180],"at":[181],"<uri":[182],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[183],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://osf.io/2x4g8/</uri>.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
