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Record W7001759681

Life, the Universe, and Nothing: A Cosmic Mystery Story

2012· other· en· W7001759681 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2012
Typeother
Languageen
FieldMedicine
TopicVascular Tumors and Angiosarcomas
Canadian institutionsnot available
Fundersnot available
KeywordsNothingVariety (cybernetics)UniverseCOSMIC cancer databaseState (computer science)PhysicistWebcastCosmology
DOInot available

Abstract

fetched live from OpenAlex

Webcast sponsored by Irving K. Barber Learning Centre and hosted by the Vancouver Institute. Lawrence Krauss' work has been primarily in theoretical (as opposed to experimental) physics, and he has published research on a great variety of topics within that field. Krauss is a renowned cosmologist and popularizer of modern science and director of the Origins Project at Arizona State University. Hailed by Scientific American as a rare public intellectual, he is the author of more than three hundred scientific publications and 8 books, including the bestselling The Physics of Star Trek, and the recipient of numerous international awards for his research and writing. He is an internationally known theoretical physicist with wide research interests, including the interface between elementary particle physics and cosmology, where his studies include the early universe, the nature of dark matter, general relativity and neutrino astrophysics. His soon to be published book, A Universe From Nothing: Why There Is Something Rather Than Nothing is already garnering strong reviews. Exploring the scientific advances that provide insight into how the universe formed, Krauss ultimately tackles the age-old assumption that something cannot arise from nothing by arguing that not only can something arise from nothing, but something will always arise from nothing.

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 categoriesnone
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 score0.387
Threshold uncertainty score0.991

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)0.0010.000

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 head0.009
GPT teacher head0.169
Teacher spread0.160 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2012
Admission routes1
Has abstractyes

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