MétaCan
Menu
Back to cohort
Record W1963701505 · doi:10.1021/ed080p833

Mass Conservation Implications of a Reaction Mechanism

2003· article· en· W1963701505 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Chemical Education · 2003
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsUniversity of GuelphUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMechanism (biology)ChemistryBiochemical engineeringEpistemologyEngineeringPhilosophy

Abstract

fetched live from OpenAlex

A proposed reaction mechanism in chemical kinetics contains implications for mass-conservation equations (stoichiometry) governing the reacting system. The only information required to determine the number and a particular set of these equations is the stoichiometric matrix of the mechanism, N. The mechanism should first be tested to determine that it is conservative: that it is in accordance with a closed-system assumption. The general criterion is given and a simple version is provided when the formula matrix of the species, A, is also known. For a conservative system, a procedure is given to show how the interactive Java applet JSTOICH can be used to determine the number and a set of mass-conservation equations implied by N (A need not be known). Similarly, if A is known, JSTOICH can be used to determine the number of special stoichiometric restrictions, r. If r = 0, the set of independent element-conservation equations provide the required equations; if r > 0, the set of equations generated by JSTOICH must be used. Examples are given to illustrate the various procedures.

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 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 score0.038
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.023
GPT teacher head0.313
Teacher spread0.291 · 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