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Record W4384393833 · doi:10.5281/zenodo.8149382

THRYV PLATFORM

2023· article· en· W4384393833 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Thryv helps more than 45,000+ businesses across the US, Canada and Australia change how they do business.It helps them get more clients, communicate better, remain organized and secure payments.Thryv features a complete CRM system, online scheduling and appointment booking, contact management, automated reminders and more; all from one login. Customer Relationship Management (CRM)With Thryv, users can create and email personalized quotations, estimates, invoices, and receipts to their clients.They can also track client payments and manage their online business directory listings from the platform's dashboard.They can reduce no-shows and ensure both their staff and clients are prepared for upcoming appointments with multiple and customizable reminders.Moreover, Thryv allows users to follow-up with their customers after appointments and remind them to leave reviews for their services.Thryv offers a suite of customer-facing tools and a growing library of third-party app integrations on one dashboard.It is designed to help small businesses grow their online presence and generate recurring revenue.Nevertheless, the company's poor reputation and negative online reviews may cause some small business owners to reconsider working with them. Online Scheduling & Appointment BookingThryv offers an end-to-end client experience platform to help small businesses meet today's expectations.It allows clients to acquire work, manage tasks, get paid, and earn credit, all from one easy-to-use dashboard.It also provides best-in-class help from business professionals who understand small businesses' aims and particular needs.Thryv's online scheduling and appointment booking system is designed to eliminate no-shows.This is accomplished through automated confirmations, reminders, and text messages to ensure that appointments are made and served as scheduled.Additionally, it enables users to offer payment options to their customers and clients, such as paying upon booking, a pre-determined installment schedule, or at the time of service.It accepts payments through ThryvPay, a company-owned payment processing service, and integrates with ACH and PayPal Braintree. Time Tracking & RemindersA time tracking software is a tool used to monitor and track employee work hours and ensure that they are paid accurately.It also provides management with the data needed for budget analysis and to identify issues related to overtime or time off.Thryv allows team members to track time from anywhere using their smartphones or desktop.Users can also set time tracking targets and reminders for themselves or for other team members.They will then receive an email if they fail to log enough hours in the week or month.Thryv also makes it easier to reach clients online by providing them with a customized web portal, accurate business listings, and a robust social media management function.This way, they can stay organized and get paid faster thanks to automated messaging that reminds customers to rate and review their services.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.663
Threshold uncertainty score0.945

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0020.007
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.3370.192

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 head0.092
GPT teacher head0.256
Teacher spread0.164 · 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
Published2023
Admission routes1
Has abstractyes

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