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Record W2490554763 · doi:10.1007/978-1-59259-975-2

The Bionic Human

2006· book· it· W2490554763 on OpenAlexfundno aff

Bibliographic record

VenueHumana Press eBooks · 2006
Typebook
Languageit
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsnot available
FundersDivision of Cardiothoracic Surgery, University of Colorado School of Medicine, Anschutz Medical CampusLeonard M. Miller School of MedicineUniversity of North Carolina at Chapel HillHospital for Sick ChildrenSchool of Medicine, University of North Carolina at Chapel HillUniversity of BristolAlvin J. Siteman Cancer CenterCase Western Reserve UniversityEmory UniversitySaint Louis UniversityLeonard M. Miller School of Medicine, University of MiamiCentre Hospitalier Universitaire de ToulouseLouisiana State UniversityJohns Hopkins UniversitySchool of Medicine, Case Western Reserve UniversitySchool of Medicine, Emory UniversityUniversity of MinnesotaImperial College LondonVillanova UniversityYale UniversityUniversity of MiamiU.S. Department of Veterans Affairs
KeywordsComputer science

Abstract

fetched live from OpenAlex

Due diligence has been

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.148
Threshold uncertainty score0.495

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1480.092

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 head0.050
GPT teacher head0.256
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2006
Admission routes1
Has abstractyes

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