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Record W4243349269 · doi:10.1177/1715163517706925

Canadian Pharmacists Conference 2017 Sponsors

2017· article· en· W4243349269 on OpenAlexvenueaboutno aff

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2017
Typearticle
Languageen
FieldHealth Professions
TopicMedical Research and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationMedicine

Abstract

fetched live from OpenAlex

A t Johnson & Johnson Inc., the mission is to enrich the health and wellness of every Canadian, every day.Behind every one of its brands is a tradition of innovative research, cutting-edge technology, and a deep commitment to delighting consumers with products that they can trust for their entire family.To that end, Johnson & Johnson strongly supports the practice of pharmacy through ongoing continuing education and counseling tools.Whether for smoking cessation, pain management or allergy treatment, pharmacists play a critical role in ensuring safe and effective medication use.Johnson & Johnson supports the increasingly expanded scope of pharmacists, which has been proven to improve disease-specific outcomes.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.693
Threshold uncertainty score0.989

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0060.001
Scholarly communication0.0070.002
Open science0.0030.004
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.3070.083

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 head0.247
GPT teacher head0.481
Teacher spread0.234 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations0
Published2017
Admission routes2
Has abstractyes

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