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Maxim I. Lelet, Maria L. Yakun’kova, Piotr M. Kowalski, Е. В. Сулейманов, Charles A. Geiger, Evgeny V. Alekseev
Bibliographic record
VenueThe Journal of Chemical Thermodynamics · 2019
Typearticle
Languagelv
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsnot available
FundersRWTH Aachen UniversityCanadian Association of GastroenterologyAustrian Science FundDeutsche ForschungsgemeinschaftMinistry of Education and Science of the Russian FederationForschungszentrum Jülich
KeywordsChemistryCalorimetryEnthalpyStandard enthalpy of formationUranylHeat capacityGibbs free energyThermodynamicsPhysical chemistryAnalytical Chemistry (journal)
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 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)0.023
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.993
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.017 |
| Meta-epidemiology (narrow) | 0.013 | 0.025 |
| Meta-epidemiology (broad) | 0.005 | 0.020 |
| Bibliometrics | 0.009 | 0.018 |
| Science and technology studies | 0.018 | 0.024 |
| Scholarly communication | 0.022 | 0.022 |
| Open science | 0.037 | 0.030 |
| Research integrity | 0.026 | 0.024 |
| Insufficient payload (model declined to judge) | 0.934 | 0.013 |
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 head0.023
GPT teacher head0.265
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.
Meta-epidemiology (narrow)Science and technology studiesScholarly communicationOpen scienceResearch integrityInsufficient payload (model declined to judge)
Study designBench or experimental
Domainnot available
GenreEmpirical
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
Published2019
Admission routes1
Has abstractno