[{"id": 616893, "created": "2025-08-08T04:25:48.896565", "project_id": 294, "task_id": 649110, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T04:28:06.950672", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 41, "src": "in the first stage , we propose the siamese hierarchical convolutional neural network ( shcnn ) to estimate conversation-level similarity between pairs of closely posted messages .", "target": "hierarchical convolutional neural network ( shcnn ) , which integrates local and more global representations of a message , is first presented to estimate the conversation-level similarity between closely posted messages .", "clarity": "clear", "faithfulness": "faithful", "plausibility": "plausible", "informativeness": "informative"}}, {"id": 622192, "created": "2025-08-15T01:11:39.830606", "project_id": 294, "task_id": 649110, "user_id": 325, "user_ip": null, "finish_time": "2025-08-15T01:12:05.079030", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 41, "src": "in the first stage , we propose the siamese hierarchical convolutional neural network ( shcnn ) to estimate conversation-level similarity between pairs of closely posted messages .", "target": "hierarchical convolutional neural network ( shcnn ) , which integrates local and more global representations of a message , is first presented to estimate the conversation-level similarity between closely posted messages .", "clarity": "somewhat_unclear", "faithfulness": "slightly_faithful", "plausibility": "weakly_plausible", "informativeness": "slightly_informative"}}]