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Record W4400283067 · doi:10.33070/etars.2.2024.08

HYDROGEN POWER AND NOT ONLY: "PRO" AND "CONTRA"

2024· article· en· W4400283067 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueEnergy Technologies & Resource Saving · 2024
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)HydrogenPsychologyChemistryPhysicsThermodynamics

Abstract

fetched live from OpenAlex

The increase in global temperature caused by global climate warming is considered. Open data on Ukraine’s energy strategy until 2050, in particular on the production and use of natural gas and hydrogen, are provided. The results of the energy efficiency of the production of primary energy resources are presented, including main renewable energy sources. The relevance of the problem of production and use of hydrogen as a significant renewable source of reducing greenhouse emissions and increasing energy security is presented. The indicators and their critical indicators for the stability and stability of the terrestrial system of the socio-ecological state of the planet Earth are presented — the so-called planetary boundaries of sustainability, it is emphasized that not only climate change, but also the extinction of biodiversity is critical for life. In response to the latter, the main points of the Kunming-Montreal UN Global Framework Program until 2030 in the field of biodiversity are outlined, the main goal of which is to return the biosphere to recovery. Based on this year’s materials of the International Energy Agency, we will generally consider the global state of hydrogen issues from the point of view of the strategy for the development of production, distribution and final use of renewable hydrogen. Some environmental and energy characteristics of electrolytic hydrogen production are presented. Recommendations for the prospects of hydrogen use are given. Bibl. 34, Fig. 7, Tab. 2.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.009
GPT teacher head0.242
Teacher spread0.234 · 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