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Record W6984034878

Ticked Off By Lyme

2019· other· en· W6984034878 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2019
Typeother
Languageen
FieldMaterials Science
TopicMachine Learning in Materials Science
Canadian institutionsnot available
Fundersnot available
KeywordsLyme diseaseBorreliaDiseasePublic healthLYMEBorrelia burgdorferi
DOInot available

Abstract

fetched live from OpenAlex

It seems every year we har about another disease that threatens our health. One of them happens to be a condition known as Lyme Disease. It's cause by a bacterium known as Borrelia and it can have some pretty nasty symptoms including fever, fatigue, and joint pain. Worse, it may have the ability to stick around and cause people years of pains ranging from arthritis to neurological and even heart problems. As for how it's spread, it comes from the bite of a tick. There's been an explosion of cases over the last decade and in some areas of the country, ticks have replaced mosquitoes as public health enemy #1.On this week's show, we take a closer look at the bacterium behind the disease and how to help you stay safe. Our first guest is an expert on this bacterium behind this disease. His name is George Chaconas and he is a professor at the University of Calgary. For years, he was a Canada Research Chair on the condition formally known as Lyme Borreliosis. We explore how the infection progresses in the body and manages to escape our immune system. We also get into the potential for resistance and long-term effects on the body.The bacterium is known as a spirochete, which means it looks like a corkscrew. This is similar to another bacterium that causes a more known illness, syphilis. We talk with Chaconas about the similarities between the two and how this may help us understand how we may be able to diagnose and possibly treat Lyme disease effectively.In our SASS Class, we find out how to avoid Lyme Disease through prevention. We talk with Katie Clow, a veterinarian and assistant professor at the University of Guelph. She's been studying how humans and pets can avoid getting bitten by a tick and shares her knowledge with us. Her tips will help you to stay safe when you're out enjoying the grassy and wooded areas. If you enjoy The Super Awesome Science Show, please take a minute to rate it on Apple Podcasts and be sure to tell a friend about the show. Thanks to you, we've been nominated for a Canadian Podcast Award as Outstanding Science and Medicine Series. Let's keep the awesome momentum going together! Twitter: @JATetroEmail: thegermguy@gmail.comGuests:George ChaconasWeb: https://www.ucalgary.ca/bprg/chaconasKatie ClowWeb: https://katieclow.com/ Twitter: @KatieClow1Learn more about your ad choices. Visit megaphone.fm/adchoices

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)0.001
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.7570.163

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 head0.004
GPT teacher head0.189
Teacher spread0.185 · 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