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Record W7019741285

INFLUENCIA IN VITRO DE LAS CARACTER?STICAS DE LAS MORDEDURAS CANINAS EN LA IDENTIFICACI?N DEL PERRO AGRESOR DE RAZAS PASTOR ALEM?N, PASTOR BELGA, ROTTWEILER Y LABRADOR. LOCAL DE POLIC?A CANINA DISTRITO DE PAUCARPATA. AREQUIPA 2013

2016· dissertation· es· W7019741285 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2016
Typedissertation
Languagees
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsBotánicaDental anomaliesPopulation
DOInot available

Abstract

fetched live from OpenAlex

MORDEDURA CONCEPTO GENERAL MORDEDURA IN VITRO CLASES DE MORDEDURA TIPOS DE MORDEDURA LESIONES O HERIDAS POR MORDEDURA HUELLAS DE MORDEDURA CARACTER?STICAS DE LAS HUELLAS DE MORDEDURA CARACTER?STICAS DE LAS LESIONES POR MORDEDURA DE PERROS REGISTRO DE LAS MORDEDURAS ESTUDIO DE LAS HUELLAS DE MORDEDURA IDENTIFICACI?N DENTAL CONCEPTO GENERAL IMPORTANCIA DE LA IDENTIFICACI?N IMPORTANCIA DE LA IDENTIFICACI?N POR HUELLAS DE MORDEDURA EL PERRO CONCEPTO GENERAL RAZAS DE PERRO ANATOM?A DE LAS PIEZAS DENTARIAS CANINAS MORFOLOG?A DENTARIA CANINA NOMENCLATURA

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.264
Teacher spread0.254 · 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 teacher head, not a consensus.

Study designQualitative
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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