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Machine Learning and Knowledge Discovery in Databases: Research Track
Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi
Bibliographic record
VenueLecture notes in computer science · 2023
Typebook
Languageen
FieldComputer Science
TopicData Mining Algorithms and Applications
Canadian institutionsnot available
FundersShenzhen Institutes of Advanced Technology, Chinese Academy of SciencesTélécom ParisUniversity of Illinois at Urbana-ChampaignMalaviya National Institute of Technology, JaipurRégion NormandieInstituto Superior TécnicoShanghai University of Electric PowerUniversité de LyonUniversity of ThessalyStockholms UniversitetUniversity of Science and Technology of ChinaJulius-Maximilians-Universität WürzburgInstituto Federal GoiásUniversidade Federal de PernambucoShandong Academy of SciencesSoutheast UniversityNanjing UniversityUniverza v LjubljaniUniversité de Rennes 1Universidade Federal de Minas GeraisUniversità della CalabriaWuhan UniversityUniversität zu KölnUniversità degli Studi di TorinoAristotle University of ThessalonikiAnschutz Medical Campus, University of ColoradoSyddansk UniversitetUniversitat Politècnica de ValènciaHumboldt-Universität zu BerlinMalmö HögskolaInternational Institute of Information Technology, HyderabadLudwig-Maximilians-Universität MünchenUniwersytet WarszawskiUniversität BielefeldTechnische Universität DarmstadtUniversity of Electronic Science and Technology of ChinaXidian UniversityUniversité de Versailles Saint-Quentin-en-YvelinesUniversität PaderbornNational Central UniversityUniversité de Caen NormandieUmeå UniversitetRheinische Friedrich-Wilhelms-Universität BonnWestfälische Wilhelms-Universität MünsterCentre National de la Recherche ScientifiqueShandong UniversityPolitechnika WarszawskaUniversiteit GentSapienza Università di RomaRenmin University of ChinaUniversità degli Studi di VeronaUniversität PotsdamAstraZenecaGottfried Wilhelm Leibniz Universität HannoverLeibniz-GemeinschaftPennsylvania State UniversitySimon Fraser UniversityUniversità degli Studi di PadovaUniversité de NamurUniversität WienChina University of Petroleum, BeijingKeele UniversityZhejiang UniversityUniversité Paris-SaclayAalto-YliopistoKU LeuvenKyungpook National UniversityUniversiteit MaastrichtUniversity of Technology SydneyTechnische Universiteit DelftQueensland University of TechnologyUniversity of South AustraliaRMIT UniversityTechnische Universität KaiserslauternMonash UniversityShanghai Jiao Tong UniversityUniversity College CorkUniversité de La RéunionJilin UniversityNational University of SingaporeUniversité de StrasbourgConservatoire National des Arts et MétiersBlekinge Tekniska HögskolaBeihang UniversityChongqing UniversityUniversity of TwenteUniversity of BristolKunming University of Science and TechnologyUniversity of BathUniversity of OxfordUniversidad Carlos III de MadridTsinghua UniversityIndian National Science AcademyUniversity of ExeterSorbonne UniversitéUniversity of Texas Rio Grande ValleyKungliga Tekniska HögskolanIowa State UniversityUniversidade do PortoIndian Institute of Technology, PatnaBoise State UniversityInstitut "Jožef Stefan"Eberhard Karls Universität TübingenItä-Suomen YliopistoAmazon Web ServicesUniversidad Complutense de MadridUniversidad de Castilla-La ManchaAlibaba DAMO AcademyHeilongjiang UniversityCollege of Engineering, Michigan State UniversityUniversity of WyomingUniversität PassauUniversità degli Studi di FirenzeUniversité du LuxembourgAmherst CollegeDepartment for Enterprise, Trade and Investment, UK GovernmentUniversiteit van AmsterdamHuazhong University of Science and TechnologyUniversität HeidelbergPolitecnico di TorinoIndian Institute of Technology GandhinagarIndian Institute of Technology JodhpurUniversity of WaikatoUniversity of OttawaWest Virginia UniversityEidgenössische Technische Hochschule ZürichNara Institute of Science and TechnologyUniversità Degli Studi di Modena e Reggio EmilaUniversità di PisaScuola IMT Alti Studi LuccaUniversidad Autónoma de MadridUniversiteit UtrechtTemple UniversityZhengzhou UniversityIndian Council of Agricultural ResearchPhilipps-Universität MarburgFlorida Atlantic UniversityUniversity of PennsylvaniaUniversity of Notre DameHelsingin YliopistoCarnegie Mellon UniversityUniversità degli Studi di TrentoMichigan State UniversityHögskolan i HalmstadUniversität OsnabrückKorea Advanced Institute of Science and TechnologyUniversità degli Studi di Napoli Federico IIGriffith UniversityArizona State UniversityUniversità degli Studi di CagliariUniversity College DublinUniverzita Karlova v PrazeUniversiteit LeidenGeorge Mason UniversityUniversidad del AtlánticoUniversità di MacerataUniversity of MinnesotaTongji UniversityAarhus UniversitetUniversitetet i OsloCarl von Ossietzky Universität Oldenburg
KeywordsComputer scienceKnowledge extractionTrack (disk drive)Artificial intelligenceDatabaseInformation retrievalMachine learningData science
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.143
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.043 | 0.035 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.062
GPT teacher head0.360
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
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Citations0
Published2023
Admission routes1
Has abstractno