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Toronto, a new Canadian meteorite

2006· article· en· W1973479243 on OpenAlexaffabout
S. A. Kissin, Graham C. Wilson

Bibliographic record

VenueMeteoritics and Planetary Science · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsLakehead University
Fundersnot available
KeywordsMeteoriteKamaciteIron meteoriteCanyonGeologyParent bodyNeutron activation analysisGeochemistryMineralogyAstrobiologyChemistryChondriteGeomorphologyRadiochemistryPhysics

Abstract

fetched live from OpenAlex

Abstract— A specimen easily identified as an iron meteorite was first authenticated at the University of Toronto. Although the finder, Karl Heinz, is deceased, it is believed that the meteorite was found on a canoe trip in the Province of Québec. The 2.715 kg main mass is weathered and has no preserved heat‐affected zone, although the external shape has a suggestion of regmaglypts, providing evidence that the specimen is a new find. The meteorite is a coarse octahedrite, with kamacite bandwidth 1.64 ± 0.56 mm. Neutron activation analysis yielded Ni 70.4 mg/g, Ge 372 μg/g, Ga 87 μg/g, and Ir 2.55 μg/g, clearly indicating that it is a member of group IAB with composition similar to that of Canyon Diablo. However, of 13 minor and trace elements, As, Au, Ir, Pt, Re, and Sb are more than three standard deviations from well‐established Canyon Diablo means, and Ge differs by nearly three standard deviations. The meteorite thus appears to be a new find. The name is in recognition of the University of Toronto, where the meteorite was first examined.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0090.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.003
GPT teacher head0.181
Teacher spread0.177 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations2
Published2006
Admission routes2
Has abstractyes

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