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MP35-11 COMPARATIVE ANALYSIS OF THE MICROBIOME OF CHRONIC PROSTATITIS, ACUTE CYSTITIS AND ASYMPTOMATIC HEALTHY SUBJECTS: THE KEY TO INTERPRETATION OF NEXT GENERATION SEQUENCING URINE REPORTS

2021· article· en· W3191625718 on OpenAlexaboutno aff
J. Curtis Nickel, Kingston Canada, Craig D. Tipton, C. Douglas Phillips, Rick Martin, E. David Crawford

Bibliographic record

VenueThe Journal of Urology · 2021
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsnot available
Fundersnot available
KeywordsProstatitisMedicineAsymptomaticMicrobiomeUrinary systemUrineChronic bacterial prostatitisGynecologyPhysiologyInternal medicineBioinformaticsProstateBiology

Abstract

fetched live from OpenAlex

devices removed for mechanical indications was 4:3.Common implant antibiotic coatings and dip combinations were broadly reviewed and had similar challenges covering bacteria identified with gentamycin and vancomycin providing the best coverage.CONCLUSIONS: Penile implants removed for infection versus mechanical failure were more pathogenic with organisms different than historically understood.Additional studies will help to further characterize differences and establish whether common antibiotic combinations for prophylaxis, irrigation, and implant coatings should be altered.

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)0.009
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0250.013

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 head0.028
GPT teacher head0.299
Teacher spread0.271 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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