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Record W7066866121

Kijk Wander 2020 Gratis Streaming Online Nederlandse Films HD hts

2020· other· nl· W7066866121 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2020
Typeother
Languagenl
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMisnomerDownload
DOInot available

Abstract

fetched live from OpenAlex

Kijk of Download Klik Hier ►► http://play.allocine.xyz/movie/646593-film-wander-gratis-volledige-nederlands-osf-27-12-20-mp4 Datum Van Publicatie : 2020-12-04 (94min) Tagline : Genres : Thriller, Crime, Mystère Productie Bedrijven : WANGO Films, Aloe Entertainment, Don Kee Productions, Falconer Pictures, Verdi Productions, Ironic Misnomer Productie Landen : Canada, United States of America Sinopsis = De mentaal onstabiele Arthur Bretnik is een privédetective die graag complottheorieën smeedt. Zijn volgende opdracht bestaat eruit een verdacht overlijden, dat in de doofpot wordt gestopt, te onderzoeken in het dorpje Wander. Gaandeweg vermoedt Arthur dat deze zaak verband houdt met de dood van zijn dochter. Zijn geestelijke gezondheid wordt grondig op de proef gesteld.

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 categoriesInsufficient 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: Other
Teacher disagreement score0.251
Threshold uncertainty score0.358

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7490.480

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 head0.261
Teacher spread0.244 · 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; the direct Gemma label and the distilled Codex classifier 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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