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>
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</reference>

<statements>
1. Because routine tasks were disproportionately situated in the middle of the wage distribution, the result was job polarization—characterized by expanding employment shares in high-skill analytical occupations and low-skill non-routine manual services, alongside a hollowed-out middle tier.
2. In the theoretical paradigm table, the structural labor market impact of Routine-Biased Technological Change (RBTC) is that it drives occupational polarization and hollows out middle-income clerical and fabrication tiers.
3. Supported by expanding demographic demand from aging populations, net healthcare employment continues to grow, with AI shifting clinician hours away from administrative documentation toward direct patient care.
4. In the industry sector table, the net labor demand and skill trajectory for Clinical Healthcare is strong aggregate employment expansion and task reallocation toward complex patient interaction.
5. While this macroeconomic trajectory matures, employment dynamics at the industry level display marked friction.
6. In parallel, employment gains concentrate within newly emergent occupational domains, such as machine learning systems development, data pipeline engineering, algorithmic audit compliance, and platform infrastructure.
</statements>

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