MétaCan
Menu
Back to cohort
Record W4320165232 · doi:10.1039/9781839168543

Traveling with the Atom A Scientific Guide to Europe and Beyond

2019· book· en· W4320165232 on OpenAlexaboutno aff
Glen E Rodgers

Bibliographic record

Venuenot available
Typebook
Languageen
FieldChemistry
TopicHistory and advancements in chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceIdeal (ethics)Reading (process)Atom (system on chip)Class (philosophy)HistoryArt historySociologyArtEngineeringLiteratureLawPolitical sciencePhilosophyEpistemology

Abstract

fetched live from OpenAlex

Traveling with the Atom is a historical travel guide to the development of one of the most significant and enduring ideas in the history of humankind: the atomic concept. This history covers the notable places and landmarks commemorating this achievement, visiting homesteads, graveyards, laboratories, apartments, abbeys and castles, through picturesque rural villages and working class municipalities. From Montreal to Manchester, via some of the most elegant and romantic cities in Europe, Traveling with the Atom guides the reader on a trip through the lives and minds of the great thinkers who collectively unveiled the mystery of the atom. Fully illustrated and interspersed with intriguing and insightful notes throughout, this book is an ideal companion for the wandering scientist, their students, friends and companions or quintessential fireside reading for lovers of science and travel.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.062
Threshold uncertainty score0.999

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.234
Teacher spread0.225 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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 abstractyes

Explore more

Same topicHistory and advancements in chemistryFrench-language works237,207