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Record W7096748170

Geological Quarterly, 2000,44 (2): 109-1 I7 Palaeomagnetism of Permian through Early Triassic sequences in central Spitsbergen: contribution to magnetostratigraphy

2016· article· en· W7096748170 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsMagnetostratigraphyPermianPaleomagnetismPolarity (international relations)Early TriassicTrias
DOInot available

Abstract

fetched live from OpenAlex

Jacek GR4BOWSTU Nawmcki J. and Grabowski J. (2000)-Palacomagnctism of Pcrmian through Early Triassic scquenccs in central Spitsbergcn: contribution to rnagnetosbaiigaphy. Gml. Quart.. 11 (2): 109- L 17. Wanzawa. A total of297 sarnpIcs for paIacomagnctic shdics werc col~cctd from Uppcr Gzhelian through Spathian scdimcnts of thc Isfiordcn arca (cmtral Spitsbcrgcn). In spitc of cxtcnsivc Ccnozoic rcmagnctisalion h c studied rocks yiddcd palecomagnetic polcs and rnagnctoshatigraphy. Almost all Pcrrnian samplcs w m rcvcrscly rnagnctiscd during Kiaman superchron. Nomnl-polarity samples appear in thc Ufirn~an and Kazamian scdimcnts. Thc topmost samples from thc Kapp Stamstin 1;orrnation (Uppcr Pcrmian) contain rcvcrse polarily. Tbc magnctic polarity rccord notcd in thc Early Triass~c (Griesbachian-Spathian) sequences is fully convcrgcnt with magnetic polarity schcrncs obtained in thc Canadian Arctic and DcItdalcn mype scction. J a y ~mv&cki and Jacek Grabowski. Polish Geologlcul Insfihtte. R o h w i e c h 4, PL-MI-975 Wnrszawa, Poland; e-mail:

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 score0.075
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0590.019

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 head0.017
GPT teacher head0.212
Teacher spread0.195 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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