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Record W4240860757 · doi:10.1128/9781555819866.ch42

Mycobacterium kansasii

2017· book-chapter· en· W4240860757 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueASM Press eBooks · 2017
Typebook-chapter
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsBC Centre for Disease Control
Fundersnot available
KeywordsMycobacterium kansasiiMycobacteriumMycobacterium marinumNontuberculous mycobacteriaMicrobiologyBiologyMedicinePathologyTuberculosis

Abstract

fetched live from OpenAlex

Mycobacterium kansasii was first isolated in 1953 (1). The species was initially characterized by the formation of yellow colonies when exposed to light, a phenomenon resulting from the deposition of beta carotene and later termed photochromogenicity (2 , 3). In his classification of atypical mycobacteria, Runyon divided nontuberculous mycobacteria into four groups based on growth rate and pigmentation. M. kansasii was classified into group I, along with other photochromogens such as M. marinum (3).

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.064
GPT teacher head0.309
Teacher spread0.245 · 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