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Record W6982651197

Jak citovat: citační styly

2022· book· cs· W6982651197 on OpenAlexaboutno aff

Bibliographic record

VenueVeřejné služby Informačního systému (Masarykiana Brunensis Universitas) · 2022
Typebook
Languagecs
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsIdeal (ethics)Context (archaeology)Action (physics)
DOInot available

Abstract

fetched live from OpenAlex

Elektronická publikace Jak citovat: citační styly obsahuje pokyny k citování podle nejčastěji užívaných citačních stylů v akademickém prostředí (např. ISO 690, APA, Vancouver apod.). Pro každý citační styl jsou vždy uvedeny pokyny k zápisu jednotlivých údajů v bibliografické citaci, k formátování citací v textu a soupisu literatury. Pro vybrané typy dokumentů jsou uvedeny vzory bibliografických citací s příklady včetně vizualizace, ze kterých částí publikací se údaje do citace přebírají. Publikace je určena studentům předmětu LF: DSVIz01 Získávání vědeckých informací, LF: VLLL021 Vyhledávání lékařské literatury a základy psaní odborného textu, LF: EMIZ0311s Práce s informačními zdroji - seminář a PřF: Bi4080 Metodika vědecké práce v mikrobiologii.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0070.009
Scholarly communication0.0230.011
Open science0.0010.006
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0630.020

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 head0.007
GPT teacher head0.171
Teacher spread0.163 · 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.

Study designNot applicable
Domainnot available
GenreMethods

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueVeřejné služby Informačního systému (Masarykiana Brunensis Universitas)Same topicAmerican Environmental and Regional HistoryFrench-language works237,207