You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
ScienceDirect



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Reference number:
a3bf080e9d4bf155
IP Address:
208.110.231.2
User Agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/153.0.0.0 Safari/537.36
Timestamp:
2026-09-16 10:01:43 UTC
CPE00001
::CLOUDFLARE_ERROR_1000S_BOX::
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</reference>

<statements>
1. The current wave—variously labeled the Fourth Industrial Revolution, Industry 4.0, or the age of AI—differs from its predecessors in reaching cognitive and non-routine tasks previously thought to be the exclusive domain of human workers
2. First, whereas earlier automation targeted routine manual and routine cognitive tasks, contemporary machine learning increasingly reaches non-routine cognitive tasks—pattern recognition, language, and prediction—that had been bottlenecks to computerization
3. Frey and Osborne's estimate, published in Technological Forecasting and Social Change, states that "about 47 percent of total US employment is in the high risk category, meaning that associated occupations are potentially automatable over some unspecified number of years, perhaps a decade or two."
4. Occupation-level automation-risk forecasts have a weak track record; the Frey–Osborne (2017) 47% figure was substantially revised downward by later task-level work, and driving automation has lagged early predictions.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.