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Record W923130431

第13届药物耐受性研讨会纪要 原发HIV耐药性、抗逆转录病毒治疗方案以及M184V突变

2004· article· zh· W923130431 on OpenAlexaboutno aff
MarkWainberg, 杨露绮

Bibliographic record

Venue传染病网络动态 · 2004
Typearticle
Languagezh
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)Resistance mutationVirologyMedicineBiologyGeneticsReverse transcriptasePolymerase chain reaction
DOInot available

Abstract

fetched live from OpenAlex

加拿大魁北克蒙特利尔McGill大学AIDS中心的Mark Wainberg博士和他的小组对原发HIV感染抗药性的流行率和M184V突变株的病毒适应性进行了广泛研究。研究人员和临床医师对在继续或中断拉米夫定抗逆转录病毒治疗的HIV感染病人中出现M184V突变的临床意义进行了讨论。该小组在这个领域中进行了大量研究.特别是对M184V突变和病毒适应性的有关问题。研究来自西班牙金丝雀岛的第13届耐药性研讨会以及泰国曼谷的第15届国际AIDS会议。

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)0.002
metaresearch head score (Gemma)0.002
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 score0.023
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0060.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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
Published2004
Admission routes1
Has abstractyes

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