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Record W3170214889 · doi:10.1002/ceat.202000497

Performance Assessment Study on the Na‐O‐H Thermochemical Water Splitting Cycle for Hydrogen Generation

2021· article· en· W3170214889 on OpenAlex
Onur Oruç, İbrahim Dinçer

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

VenueChemical Engineering & Technology · 2021
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsHydrogen productionThermochemical cycleHydrogenChemistryDecompositionWater splittingHydrogen purifierOxygenSodiumInorganic chemistryThermodynamicsCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The sodium‐oxygen‐hydrogen (Na‐O‐H) thermochemical cycle is investigated, as one of the potential methods of thermochemical water decomposition and hydrogen generation. The hydrogen production reaction, metal separation reaction, and hydrolysis reaction, forming the Na‐O‐H thermochemical cycle, are examined by RGibbs reactor modeling. The parameters for the three reactions are optimized in terms of hydrogen yield, pressure, temperature, and heat requirement. The metal separation reaction is carried out under vacuum pressure, while other reactions can be conducted under atmospheric pressure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.837

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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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