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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
FundersTélécom 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 PernambucoRheinische Friedrich-Wilhelms-Universität BonnShandong Academy of SciencesSoutheast UniversityNanjing UniversityUniverza v LjubljaniUniversité de Rennes 1Universidade Federal de Minas GeraisUniversità della CalabriaWuhan UniversityUniversità degli Studi di TorinoAristotle University of ThessalonikiAnschutz Medical Campus, University of ColoradoSyddansk UniversitetTsinghua UniversityUniversidad Carlos III de MadridUniversitat Politècnica de ValènciaHumboldt-Universität zu BerlinInternational Institute of Information Technology, HyderabadLudwig-Maximilians-Universität MünchenUniversité de Versailles Saint-Quentin-en-YvelinesUniversität PaderbornNational Central UniversityShandong UniversityPolitechnika WarszawskaUniversiteit GentSapienza Università di RomaRenmin University of ChinaZhejiang UniversityKeele UniversityUniversità degli Studi di VeronaUniversität PotsdamAstraZenecaGottfried Wilhelm Leibniz Universität HannoverShanghai Jiao Tong UniversityLeibniz-GemeinschaftSimon Fraser UniversityUniversità degli Studi di PadovaUniversité de NamurUniversität WienChina University of Petroleum, BeijingUniversité Paris-SaclayAalto-YliopistoKU LeuvenKyungpook National UniversityUniversiteit MaastrichtUniversity of Technology SydneyTechnische Universiteit DelftGriffith UniversityUniversity of South AustraliaRMIT UniversityUniversity of Electronic Science and Technology of ChinaTechnische Universität KaiserslauternMonash UniversityUniverzita Karlova v PrazeUniversity College DublinJilin UniversityNational University of SingaporePolitecnico di TorinoIndian Institute of Technology GandhinagarUniversität HeidelbergUniversité de StrasbourgConservatoire National des Arts et MétiersBlekinge Tekniska HögskolaBeihang UniversityChongqing UniversityUniversity of TwenteUniversity of BristolUniversity of BathUniversity of OxfordIndian National Science AcademyUniversity of ExeterSorbonne UniversitéKungliga Tekniska HögskolanIowa State UniversityUniversidade do PortoIndian Institute of Technology, PatnaBoise State UniversityInstitut "Jožef Stefan"Uniwersytet WarszawskiUniversität BielefeldAmazon Web ServicesItä-Suomen YliopistoUniversidad Complutense de MadridUniversidad de Castilla-La ManchaAlibaba DAMO AcademyAmherst CollegeIndian Institute of Technology JodhpurDepartment for Enterprise, Trade and Investment, UK GovernmentUniversity of WaikatoUniversity of OttawaWest Virginia UniversityTechnische Universität DarmstadtUniversità degli Studi di TrentoMichigan State UniversityUniversità degli Studi di FirenzeUniversité du LuxembourgUniversità di PisaScuola IMT Alti Studi LuccaUniversidad Autónoma de MadridUniversiteit UtrechtTemple UniversityZhengzhou UniversityIndian Council of Agricultural ResearchHeilongjiang UniversityCollege of Engineering, Michigan State UniversityUniversity of WyomingEidgenössische Technische Hochschule ZürichUniversità Degli Studi di Modena e Reggio EmilaUniversité de Caen NormandieUmeå UniversitetHelsingin YliopistoCarnegie Mellon UniversityHögskolan i HalmstadUniversität OsnabrückKorea Advanced Institute of Science and TechnologyUniversità degli Studi di Napoli Federico IIMalmö HögskolaUniversity of Notre DameXidian UniversityUniversità degli Studi di CagliariFlorida Atlantic UniversityAarhus UniversitetUniversiteit LeidenGeorge Mason UniversityUniversitetet i OsloPhilipps-Universität MarburgUniversidad del AtlánticoUniversità di MacerataUniversity of Minnesota
KeywordsComputer scienceKnowledge extractionTrack (disk drive)Artificial intelligenceDatabaseInformation retrievalData scienceMachine learningOperating system
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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Citations5
Published2023
Admission routes1
Has abstractno