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>
Making sure you're not a bot!



Making sure you're not a bot!

Loading...
Anubis could not load its JavaScript. The server may be overloaded. Please reload the page to try again.
You are seeing this because the administrator of this website has set up Anubis to protect the server against the scourge of AI companies aggressively scraping websites. This can and does cause downtime for the websites, which makes their resources inaccessible for everyone.
Anubis is a compromise. Anubis uses a Proof-of-Work scheme in the vein of Hashcash, a proposed proof-of-work scheme for reducing email spam. The idea is that at individual scales the additional load is ignorable, but at mass scraper levels it adds up and makes scraping much more expensive.
Ultimately, this is a placeholder solution so that more time can be spent on fingerprinting and identifying headless browsers (EG: via how they do font rendering) so that the challenge proof of work page doesn't need to be presented to users that are much more likely to be legitimate.
Please note that Anubis requires the use of modern JavaScript features that plugins like JShelter will disable. Please disable JShelter or other such plugins for this domain.
Protected by
Anubis
From
Techaro
. Made with ❤️ in 🇨🇦.
Mascot design by
CELPHASE
.
This website is running Anubis version
v1.27.0
.
</reference>

<statements>
1. In a cross-national panel study across 17 advanced economies, Graetz and Michaels established that industrial robot density accounted for 0.36 percentage points of annual labor productivity growth and roughly 10% of total GDP expansion across the analyzed timeframe.
2. Although industrial robotics did not induce statistically significant reductions in total industry hours worked, it provoked shifts in labor force composition, driving down the employment share of low-skilled workers while reducing hours among middle-skilled machine operators.
3. In the industry sector table, the net labor demand and skill trajectory for Advanced Manufacturing is that micro-level firm employment expands via scale while macro-level low-skill assembly labor declines.
4. In industrial manufacturing, autonomous robotics elevates productivity while eliminating routine assembly lines and thinning middle management structures.
</statements>

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