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Record W2402697145

Maintaining relationships with your patients by maximizing your online presence.

2011· article· en· W2402697145 on OpenAlexaff
John P. Donnelly, Maarit Kaaihue

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsEmergent BioSolutions (Canada)
Fundersnot available
KeywordsCredibilityReputationThe InternetSet (abstract data type)Best practiceComputer scienceOnline advertisingMarketingBusinessWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Medical practices that take full advantage of today's online consumer-driven culture will leave other practices in their wake. With today's modern consumers looking to the Internet more and more for finding medical solutions for their family, it is imperative that your practice uses all of the tools available for creating and maintaining its online presence. We all know that having a functional Web site these days is a necessity for practically any business in any industry; however, taking your online presence further by using a few techniques can set up your practice for great success. Your online marketing should help your practice with managing patient relationships at all levels. To best reach this goal, continually analyzing data and updating your online marketing approach will help further drive leads and conversions. Using a few search engine optimization techniques as well as optimal design and marketing methods will allow you to more easily find prospective patients, build trust and credibility with your current patients, and manage your reputation.

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)0.004
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.008

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 head0.302
GPT teacher head0.344
Teacher spread0.042 · 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 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

Citations2
Published2011
Admission routes1
Has abstractyes

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