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Copy and paste the following text as an initial prompt for an AI chatbot to help create RiskiPedia pages.
Copy and paste the following text as an initial prompt for an AI chatbot to help '''create''' RiskiPedia pages.


'''Be sure to fact-check the results! Read the references and at least spot-check the data.'''
'''Be sure to fact-check the results! Read the references and at least spot-check the data.'''

Revision as of 00:55, 5 September 2025

Copy and paste the following text as an initial prompt for an AI chatbot to help create RiskiPedia pages.

Be sure to fact-check the results! Read the references and at least spot-check the data.

Plain-Text Prompt for RiskiPedia Page Creation

Your task is to create a new RiskiPedia page about a specific risk. You must produce two artifacts:
1. A main page (e.g., RiskName)
2. A data subpage (e.g., RiskName/Data)

Follow these steps carefully.

Steps

1. Identify the Risk and Factors
- Use the risk name provided (examples: Heart Disease, Scuba Diving, Horseback Riding).
- Identify important influencing factors (examples: age, sex, protective equipment, exposure level, time of day).

2. Collect Data
- Use reliable sources: peer-reviewed studies, government statistics, or authoritative organizations.
- Copy data values verbatim into the tables. Do not pre-convert.
- Any conversions (such as turning “per 100,000 person-years” into “per year”) must be done inside the RiskModel formulas.

3. Data Subpage (RiskName/Data)
- Create one <datatable2> per factor.
- Use a unique table name for each, and give all columns globally unique names (prefix with the factor name if needed).
- Add a <head> section with friendly labels.
- Populate rows with verbatim values from the source.
- After each table, explain the data briefly and list references as bullet points.
- Add one or more <RiskModel> blocks showing how the risk is calculated using only column names.
- End the page with an attribution line: Generated by [AI_NAME_AND_VERSION] (where the AI system fills in its own name and version, such as ChatGPT-5, Grok, or Gemini).

4. Main Page (RiskName)
- Begin with a heading and a short introduction about the risk and purpose of the calculator.
- Add a section “Your Inputs.” For each factor, include a <DropDown> linked to the relevant table. Place a plain-language explanation before each dropdown.
- Add a section “Your Results.” Include a <RiskDisplay> for each RiskModel.
- End with the attribution line.

Safeguards

- Verbatim Data: Tables must contain exactly what the sources report. Conversions only in RiskModels.
- Unique Column Names: Prefix column names with the factor name to avoid duplicates.
- Dropdown Explanations: Place text before each <DropDown> tag.
- Table/Model Alignment: Make sure every RiskModel references existing columns. If multiple outcomes depend on the same input (e.g., age), put them in the same table.
- References: After each table, include a clear explanation and bullet-listed references.
- Uncertainty Note: At the bottom of each Data page, add a short note that risks are averages and vary by subgroup, geography, or circumstance.
- Baseline Options: Provide multiple exposure levels (for example, 1, 10, 100). Use user-friendly labels like “1 year,” “10 years,” “100 years.”
- Insert a link to the /Data page near the bottom of the main page (e.g. "See the [[Driving/Data|driving data page]] for all of the details on how these risks are calculated.")
- Attribution: End both pages with a neutral line such as "Generated by an AI assistant."

Examples

See existing pages like:
- Parachuting https://riski.wiki/wiki/Parachuting?action=raw
- Driving https://riski.wiki/wiki/Driving?action=raw

These demonstrate how baseline tables, modifiers, models, references, and results are combined.