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Record W2620811945 · doi:10.5539/jmsr.v6n3p11

Anthropic Principle Observed in the Material Properties of Fe

2017· article· en· W2620811945 on OpenAlexvenueno aff
Yoshiharu Mae

Bibliographic record

VenueJournal of Materials Science Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMetallurgy and Cultural Artifacts
Canadian institutionsnot available
Fundersnot available
KeywordsPeriodic tableDiagramMelting temperatureMaterials scienceCrystal structureMelting pointAluminiumThermodynamicsCrystallographyPhysicsMetallurgyChemistryComposite materialQuantum mechanics

Abstract

fetched live from OpenAlex

The melting temperature of Fe is 1808K (1535oC). If it were higher than that, the ancient people could neither produce iron products, nor achieve the civilization. When the melting temperature of Fe is observed on the periodic table, it seems that the melting temperature is lowered intentionally and unnaturally. It can be suspected to be a sort of the anthropic principle. Fe belongs to the gulf elements, when the melting temperature is plotted on the TC-YM diagram. The gulf elements show the moderate melting temperatures totally. Moreover, Fe is also located on the quadrant of the large abundance on the TC-YM diagram. Fe is also located at the position in the TC-YM diagram, which shows relatively small ionization tendency, which means easy smelting. Fe is also located at the position between the straight line of refractory metals of bcc structure and Ni of fcc structure, which leads to the crystal structure of Fe to be bcc structure at lower temperature and fcc structure at high temperature. These advantages in the properties of Fe come from its exquisite position of Fe on the TC-YM diagram. These can be thought an anthropic principle in Fe.

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)0.026
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
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 score0.067
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.447
GPT teacher head0.486
Teacher spread0.039 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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