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Updating the approaches to define susceptibility and resistance to anti-tuberculosis agents: implications for diagnosis and treatment
Bibliographic record
VenueOpen MIND · 2022
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentJanssen Research and DevelopmentU.S. National Library of MedicineNational Institute of Child Health and Human DevelopmentNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteNational Institute on Drug AbuseNational Heart, Lung, and Blood InstituteNational Institute on Alcohol Abuse and AlcoholismFaculty of Medicine and Health, University of SydneyVanderbilt UniversityRoyal Society of Tropical Medicine and HygieneInstituto de Higiene e Medicina Tropical, Universidade Nova de LisboaStatens Serum InstitutMedical Research CouncilLeibniz-GemeinschaftMorsani College of MedicineImperial College LondonSchool of Medicine, Emory UniversityNational Institute for Health and Care ResearchCenters for Disease Control and PreventionNational Institutes of HealthUniversitätsklinikum HeidelbergNational Center for Genetic Engineering and BiotechnologyVetenskapsrådetNational Health Laboratory ServiceAssistance publique-Hôpitaux de ParisScience for Life LaboratoryRussian Academy of SciencesChina Medical University HospitalOtsuka PharmaceuticalFogarty International CenterUniversität ZürichUniwersytet WarszawskiSuez UniversityInstituto de Investigación Sanitaria del Principado de AsturiasUniversidade Nova de LisboaPublic Health Agency of CanadaUniversitat de BarcelonaCentre National de la Recherche ScientifiqueInyuvesi Yakwazulu-NataliNational Science and Technology Development AgencyUniversitätsklinikum Hamburg-EppendorfUniversiteit StellenboschNarodowym Centrum NaukiUniversity of ColomboUniversiteit AntwerpenLinköpings UniversitetFudan UniversityEge ÜniversitesiFolkhälsomyndighetenNational Institute for Research in TuberculosisLondon School of Hygiene and Tropical MedicineSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversity of BristolEuropean Society of Clinical Microbiology and Infectious DiseasesNational Taiwan UniversityInstitut National de la Santé et de la Recherche MédicaleIndian Council of Medical ResearchLomonosov Moscow State UniversityNational Center for HIV/AIDS, Viral Hepatitis, STD, and TB PreventionFundação para a Ciência e a TecnologiaRadboud UniversiteitRadboud Universitair Medisch CentrumUniversity of PretoriaCapital Medical UniversitySouth African Medical Research CouncilIstituto Superiore di SanitàConsejo Superior de Investigaciones CientíficasNational Institute of Diabetes and Digestive and Kidney DiseasesRoyal SocietyNational Institute of Mental HealthCase Western Reserve UniversityUniversity of SydneyInnosuisse - Schweizerische Agentur für InnovationsförderungAustralian GovernmentChina Medical UniversityNational Science FoundationUniversidade Federal do Espírito SantoChinese People’s Liberation ArmyUniversity of Cape TownNIHR Cambridge Biomedical Research CentreMassachusetts General HospitalEmerging Pathogens Institute, University of FloridaKungliga Tekniska HögskolanSorbonne UniversitéUK Research and InnovationUniversidad Pontificia BolivarianaBundesministerium für Bildung und ForschungFrancis Crick InstituteWorld Health OrganizationJohns Hopkins UniversityWellcome TrustCancer Research UKOtsuka Pharmaceutical Development and CommercializationMinisterie van Buitenlandse ZakenVanderbilt University Medical CenterDepartment of Foreign Affairs and Trade, Australian GovernmentPublic Health AgencyNSW Health PathologyInstituut voor Tropische GeneeskundeNational Taiwan University HospitalDeutsches Zentrum für InfektionsforschungEmory UniversityUniversity of BernCalifornia Department of Public HealthUniversity of South FloridaUniversity of California, San DiegoBill and Melinda Gates Foundation
KeywordsDiseaseMEDLINEResistance (ecology)Component (thermodynamics)
Abstract
No description supplied
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 imitationNot 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)0.082
metaresearch head score (Gemma)0.221
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.433
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.082 | 0.221 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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 head0.268
GPT teacher head0.402
Teacher spread0.134 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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 designTheoretical or conceptual
Domainnot available
GenreMethods
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
Published2022
Admission routes1
Has abstractyes