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					   <title>&quot;A machine learning approach for contrail detection and persistence prediction using airborne measurements from the ECLIF II/ND-MAX and ecoDemonstrator flight campaigns&quot; - Interactive discussion</title>
					   <link href="https://jecats.copernicus.org/preprints/jecats-2026-11/" />
					   <id>https://jecats.copernicus.org/preprints/jecats-2026-11/</id>
					   <updated>2026-07-16T01:37:03+02:00</updated>
					   <author><name>Copernicus Publications</name></author><entry><id>https://jecats.copernicus.org/preprints/jecats-2026-11/jecats-2026-11-AC1.pdf</id><title>AC1: 'Reply on RC1', Evanthia Kallou, 16 Jul 2026</title><link href="https://jecats.copernicus.org/preprints/jecats-2026-11/jecats-2026-11-AC1.pdf" /><summary>AC1: 'Reply on RC1', Evanthia Kallou, 16 Jul 2026</summary><author><name>Evanthia Kallou</name></author><published>2026-07-16T01:37:02+02:00</published><updated>2026-07-16T01:37:02+02:00</updated></entry><entry><id>https://jecats.copernicus.org/preprints/jecats-2026-11/jecats-2026-11-RC1.pdf</id><title>RC1: 'Comment on jecats-2026-11', Anonymous Referee #1, 02 Jul 2026</title><link href="https://jecats.copernicus.org/preprints/jecats-2026-11/jecats-2026-11-RC1.pdf" /><summary>RC1: 'Comment on jecats-2026-11', Anonymous Referee #1, 02 Jul 2026</summary><author><name>Anonymous Referee #1</name></author><published>2026-07-02T06:14:00+02:00</published><updated>2026-07-02T06:14:00+02:00</updated></entry></feed>