MétaCan
Menu
Back to cohort
Record W3115861958 · doi:10.32370/ia_2020_12_8

Humans as Genetic Information Carriers in the Pandemic Conditions (Criminal, Criminal Legal, and Civil Legal Aspects)

2020· article· en· W3115861958 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIntellectual Archive · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDigital Transformation in Law
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessIdentification (biology)Criminal caseCriminologyPolitical scienceSociologyLawBiology

Abstract

fetched live from OpenAlex

It has been for the most part difficult and almost impossible to establish the origin of biological material from a particular person, as traditional methods of examining biological traces only with little probability can establish the relative chances of origin of such traces from a particular person and not their equivalence or identity. The development and implementation in the expert practice of new methods of research of human biological traces are aimed at increasing the level of identification capabilities. Major successes in this area have been achieved first of all due to molecular genetics. The importance of such research cannot be overestimated. Many of the notable advances we witness today in forensics and the biological sciences depend on our knowledge of the structure of deoxyribonucleic acid (DNA).

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.038
GPT teacher head0.238
Teacher spread0.199 · 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