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Record W1737052546 · doi:10.4212/cjhp.v57i2.361

Glad You Liked It

2004· article· en· W1737052546 on OpenAlexvenueaboutno aff
Myrella Roy

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2004
Typearticle
Languageen
FieldHealth Professions
TopicMedical Research and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacyEvent (particle physics)Variety (cybernetics)Public relationsArchitectureWeb siteMedical educationLibrary sciencePsychologyPolitical scienceManagementMedicineNursingWorld Wide WebThe InternetComputer scienceGeography

Abstract

fetched live from OpenAlex

research and education, this event provided an opportunity to commend Peter Loewen and Brian Tuttle on their new status as Fellows and to give $22,500 worth of grants toward 4 research projects. In February, CSHP met again twice over the issue of medicinal marihuana, first with other pharmacy organizations and then with a variety of stakeholders. During these sessions, Health Canada solicited feedback on further proposed amendments to the Marihuana Medical Access Regulations, targeted for completion by summer 2004, and provided the opportunity for an exchange of ideas and concerns among stakeholders. A pilot project involving pharmacy-based distribution is among the issues under consideration. (For additional information, see http://www.hc-sc.gc.ca/hecs-sesc/ocma.) One more external liaison event was held in February. The Canadian Foundation for Pharmacy invited the executive staff of Canadian pharmacy associations and the deans of the Canadian faculties and schools of pharmacy to participate in a workshop on how to design effective innovation. CSHP staff members can’t wait to unveil the Society’s new Web site. It is shaping up very nicely: a more functional architecture and a modern, visually attractive concept! We hope you will like it just as much as you liked the PPC.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.120
GPT teacher head0.491
Teacher spread0.371 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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 routes2
Has abstractyes

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