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Record W4386806337 · doi:10.1007/978-3-031-43430-3

Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

2023· book· en· W4386806337 on OpenAlexfundno aff
Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, 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 1Universidad de Castilla-La ManchaUniversidade 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 ChinaUniversité de Versailles Saint-Quentin-en-YvelinesUniversität PaderbornNational Central UniversityRheinische Friedrich-Wilhelms-Universität BonnWestfälische Wilhelms-Universität MünsterCentre National de la Recherche ScientifiqueShandong UniversityPolitechnika WarszawskaUniversiteit GentSapienza Università di RomaRenmin University of ChinaZhejiang UniversityKeele UniversityUniversità degli Studi di VeronaUniversität PotsdamAstraZenecaGottfried Wilhelm Leibniz Universität HannoverUniversity College CorkShanghai Jiao Tong UniversityLeibniz-GemeinschaftSimon Fraser UniversityUniversità degli Studi di PadovaUniversité de NamurUniversität WienItä-Suomen YliopistoAmazon Web ServicesUniversidad Complutense de MadridChina University of Petroleum, BeijingUniversité Paris-SaclayAalto-YliopistoKU LeuvenKyungpook National UniversityUniversiteit MaastrichtUniversity of Technology SydneyTechnische Universiteit DelftQueensland University of TechnologyUniversity of South AustraliaRMIT UniversityTechnische Universität KaiserslauternMonash UniversityJilin UniversityNational University of SingaporeUniversité de StrasbourgConservatoire National des Arts et MétiersBlekinge Tekniska HögskolaBeihang UniversityChongqing UniversityUniversity of TwenteUniversity of BristolUniversity of BathUniversity of OxfordUniversidad Carlos III de MadridTsinghua UniversityIndian National Science AcademyUniversity of ExeterSorbonne UniversitéKungliga Tekniska HögskolanIowa State UniversityUniversidade do PortoIndian Institute of Technology, PatnaBoise State UniversityInstitut "Jožef Stefan"Amherst CollegeDepartment for Enterprise, Trade and Investment, UK GovernmentUniversiteit van AmsterdamUniversität HeidelbergPolitecnico di TorinoIndian Institute of Technology GandhinagarIndian Institute of Technology JodhpurUniversity of WaikatoUniversity of OttawaWest Virginia UniversityUniversità degli Studi di FirenzeUniversité du LuxembourgHeilongjiang UniversityCollege of Engineering, Michigan State UniversityUniversity of WyomingEidgenössische Technische Hochschule ZürichUniversità Degli Studi di Modena e Reggio EmilaNara Institute of Science and TechnologyUniversity of Notre DameUniversité de Caen NormandieUmeå UniversitetHelsingin YliopistoUniversità di PisaUniversidad Autónoma de MadridScuola IMT Alti Studi LuccaCarnegie Mellon UniversityHögskolan i HalmstadUniversität OsnabrückKorea Advanced Institute of Science and TechnologyUniversità degli Studi di Napoli Federico IIUniversità degli Studi di TrentoMichigan State UniversityUniversiteit UtrechtTemple UniversityZhengzhou UniversityIndian Council of Agricultural ResearchGriffith UniversityUniversità degli Studi di CagliariArizona State UniversityXidian UniversityFlorida Atlantic UniversityUniversity College DublinUniverzita Karlova v PrazeTongji UniversityAarhus UniversitetUniversiteit LeidenGeorge Mason UniversityCarl von Ossietzky Universität OldenburgUniversitetet i OsloPhilipps-Universität MarburgUniversidad del AtlánticoUniversità di MacerataUniversity of Minnesota
KeywordsComputer scienceTrack (disk drive)Knowledge extractionDatabaseInformation retrievalData scienceWorld Wide WebArtificial intelligenceOperating system

Abstract

fetched live from OpenAlex
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 imitation

Not 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)0.006
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 score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.014
Science and technology studies0.0010.002
Scholarly communication0.0070.014
Open science0.0030.003
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0370.020

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 head0.037
GPT teacher head0.302
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractno

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