Methods to Undo Damage from Bad-Faith Peer Review Discussed in Journal of American Physicians and Surgeons
- Bias Rating
6% Center
- Reliability
55% ReliableFair
- Policy Leaning
6% Center
- Politician Portrayal
N/A
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
-34% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
55% : With the help of a skilled attorney, he may be able to obtain a Withdrawal of Request for Corrective Action.42% : Once an official Request for Corrective Action is made and an investigation is opened, a physician will be forced to self-report and explain the investigation for the rest of his career, even if he prevails in an internal peer review.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.