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Record W8392685

Arnould's Law of Marine Insurance, 17th Edition, 1st Supplement

2010· book· en· W8392685 on OpenAlexaboutno aff
Jonathan Gilman, Robert Merkin

Bibliographic record

VenueSweet & Maxwell eBooks · 2010
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsnot available
Fundersnot available
KeywordsSubrogationLawPaymentJurisdictionAbandonment (legal)Political scienceBusinessFinance
DOInot available

Abstract

fetched live from OpenAlex

Optimal treatment of bacterial meningitis raises three questions: which antibiotic? which dosage? which duration? The overall duration of antibiotherapy has been shortened since the last decade. If a short-course treatment shows similar efficacy and rate of relapse, unnecessary prolonged course of treatment exposes to increased cost, duration of hospitalization and secondary effects. From 1979, Gold et al in Toronto treated all uncomplicated cases of meningitis for seven days and obtained satisfactory results. The first randomized trials evaluating optimal duration of treatment in meningitis were performed in 1985 by Lin et al: they showed no difference in terms of efficacy and complications between conventional and short-term treatment. Current rules in meningococcal meningitis consist of seven days or less on therapy, and 7-10 days for pneumococcal or Haemophilus meningitis. The sequential follow-up of C-reactive protein (CRP) levels seems a useful tool for the management of bacterial meningitis.

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 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.549
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.219
Teacher spread0.201 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2010
Admission routes1
Has abstractyes

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