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Record W2770483368 · doi:10.1016/j.funbio.2020.02.007

The Third International Symposium on Fungal Stress – ISFUS

2020· article· en· W2770483368 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFungal Biology · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEntomopathogenic Microorganisms in Pest Control
Canadian institutionsUniversity of Saskatchewan
FundersNational Institute of General Medical SciencesEuropean Regional Development FundDefense Threat Reduction AgencySocial Science Foundation of Jiangsu ProvinceNational Research FoundationNemzeti Kutatási Fejlesztési és Innovációs HivatalBundesministerium für Wirtschaft und EnergieConsejo Nacional de Ciencia y TecnologíaFundação de Amparo à Pesquisa do Estado de GoiásUniversidade de MacauVetenskapsrådetIsrael Science FoundationMinisterio de Ciencia, Innovación y UniversidadesNuclear Safety and Security CommissionDirectorate for Biological SciencesNational Institutes of HealthFundo para o Desenvolvimento das Ciências e da TecnologiaConselho Nacional de Desenvolvimento Científico e TecnológicoCarl Tryggers Stiftelse för Vetenskaplig ForskningCancerfondenDepartment of Agriculture, Environment and Rural Affairs, UK GovernmentAustrian Science FundMauritius Research CouncilDebreceni EgyetemIsrael Cancer Research FundDepartment for Environment and Heritage, Government of South AustraliaGovernment of Jiangsu ProvinceGrains Research and Development CorporationNatural Environment Research CouncilArts Council of Northern IrelandEuropean Social FundRoyal SocietyFundação de Amparo à Pesquisa do Estado de São PauloEuropean CommissionBiotechnology and Biological Sciences Research CouncilNational Aeronautics and Space AdministrationWellcome TrustCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorAustralian Research CouncilBundesministerium für Wirtschaft und TechnologieDepartment for Employment and Learning, Northern IrelandDeutsche ForschungsgemeinschaftUniversidade Federal de GoiásSight Research UKUniversity of GeorgiaMedical Research CouncilMinistry of Science and Technology of the People's Republic of ChinaConsejo Nacional de Ciencia y Tecnología, Paraguay
KeywordsBiologyEcologyFungal growthAgricultureBotany

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.

Full frame distilled prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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