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Machine Learning and Knowledge Discovery in Databases
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
Bibliographic record
VenueLecture notes in computer science · 2023
Typebook
Languageen
FieldComputer Science
TopicData Mining Algorithms and Applications
Canadian institutionsnot available
FundersMicrosoft Research AsiaInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementInsight SFI Research Centre for Data AnalyticsRégion NormandieStockholms UniversitetUniversity of Science and Technology of ChinaUniverza v LjubljaniUniversity of AlbertaKorea Advanced Institute of Science and TechnologyHarokopio UniversityScuola IMT Alti Studi LuccaUniversità di PisaCentral European Institute of TechnologyUniversidad de OviedoUniversité Grenoble AlpesUniversität BielefeldLudwig-Maximilians-Universität MünchenCollege of Engineering, Michigan State UniversityUniversity of WyomingDanmarks Tekniske UniversitetTemple UniversityUniversiteit UtrechtNankai UniversityCentre National de la Recherche ScientifiqueUniversiteit GentSapienza Università di RomaTechnische Universität WienUniversita degli Studi di Bari Aldo MoroUniversité de Caen NormandiePolitechnika PoznańskaMasdar Institute of Science and TechnologyMicrosoft ResearchInstitut National Polytechnique de ToulouseKing Abdulaziz UniversityNational and Kapodistrian University of AthensJohannes Gutenberg-Universität MainzLeibniz-GemeinschaftSimon Fraser UniversityUniversità degli Studi di PadovaEuskal Herriko UnibertsitateaAlbert-Ludwigs-Universität FreiburgDalhousie UniversityUniversity of WaikatoUniversidad de ZaragozaShanghai Educational Development FoundationChalmers Tekniska HögskolaRijksuniversiteit GroningenAalborg UniversitetAbu Dhabi National Oil CompanyUniversity of Texas at DallasZhejiang UniversityUniversité Paris-SaclayAalto-YliopistoSun Yat-sen UniversityTechnische Universität MünchenInstitut National des Sciences Appliquées de LyonUniversità degli Studi di Milano-BicoccaTsinghua UniversityChinese Academy of SciencesTU Graz, Internationale Beziehungen und MobilitätsprogrammeUniversity of MinnesotaMonash UniversityJulius-Maximilians-Universität WürzburgUniversity of Technology SydneyKU LeuvenUniversity of New South WalesGottfried Wilhelm Leibniz Universität HannoverAix-Marseille UniversitéUniversiteit LeidenUniversity of Texas at San AntonioIndian Council of Agricultural ResearchJilin UniversityNational University of SingaporeIndian Institute of Technology PalakkadCommonwealth Scientific and Industrial Research OrganisationUniversiti Kuala LumpurHelsingin YliopistoDeakin UniversityBlekinge Tekniska HögskolaBeihang UniversityUniversity of TwenteUniversity of BristolUniversity of OxfordSoutheast UniversityKungliga Tekniska HögskolanUlster UniversityUniversidade do PortoIndian Institute of Technology, PatnaCarl von Ossietzky Universität OldenburgItä-Suomen YliopistoShandong UniversityPolitechnika WarszawskaUniversité Bretagne SudUniversidad de CórdobaInstitut "Jožef Stefan"Université Catholique de LouvainPolitecnico di TorinoIndian National Science AcademyUniversità degli Studi di MilanoPurdue UniversityUniversità degli Studi di TrentoMichigan State UniversityUniversità degli Studi di CagliariGeorgia State UniversityDeutsches KrebsforschungszentrumUniversity of OttawaSyracuse UniversityMasarykova UniverzitaUniversiteit van AmsterdamAristotle University of ThessalonikiUniversity College Dublin
KeywordsComputer scienceKnowledge extractionDatabaseArtificial intelligenceInformation retrieval
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.990
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.024
GPT teacher head0.291
Teacher spread0.266 · 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 itQuick stats
Citations24
Published2023
Admission routes1
Has abstractno