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Record W3116133811

Hvor kan jeg se Wander (2020) Comes Home på nett Gratis ncr

2020· article· da· W3116133811 on OpenAlexaboutno aff
cilmebitro

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2020
Typearticle
Languageda
FieldArts and Humanities
TopicKierkegaardian Philosophy and Influence
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine
DOInot available

Abstract

fetched live from OpenAlex

Bruk koblingene nedenfor for å se Wander full film online stream Klikk her for å se: http://play.allocine.xyz/movie/646593-se-wander-last-ned-film-med-norsk-tekst--osf-27-12-20-mp4 Utgivelsesdato : 2020-12-04 (94min) Tagline : Genre : Thriller, Crime, Mystère Produksjon Selskaper : WANGO Films, Aloe Entertainment, Don Kee Productions, Falconer Pictures, Verdi Productions, Ironic Misnomer Produksjon Land : Canada, United States of America SYNOPSIS : Arthur Bretnik est un détective privé mentalement instable depuis la perte de son enfant. Il est engagé afin d'enquêter sur une mort suspecte dans la petite ville de Wander. Il est convaincu que l’affaire est liée à la mort de sa fille.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.704
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.7340.832

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 head0.029
GPT teacher head0.239
Teacher spread0.209 · 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 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
Published2020
Admission routes1
Has abstractyes

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