[{"id": 616467, "created": "2025-08-06T04:09:18.073319", "project_id": 294, "task_id": 649007, "user_id": 315, "user_ip": null, "finish_time": "2025-08-06T04:11:05.071980", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 110, "src": "we used term frequency weighting scheme and the liblinear scikit-learn implementation of support vector machines with ovr , one vs .", "target": "each essay was represented through the sets of features described below , using term frequency and the liblinear scikit-learn implementation of support vector machines with ovr , one vs .", "clarity": "clear", "faithfulness": "faithful", "plausibility": "moderately_plausible", "informativeness": "very_informative"}}, {"id": 619485, "created": "2025-08-11T23:15:45.051293", "project_id": 294, "task_id": 649007, "user_id": 325, "user_ip": null, "finish_time": "2025-08-11T23:17:30.896505", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 110, "src": "we used term frequency weighting scheme and the liblinear scikit-learn implementation of support vector machines with ovr , one vs .", "target": "each essay was represented through the sets of features described below , using term frequency and the liblinear scikit-learn implementation of support vector machines with ovr , one vs .", "clarity": "somewhat_unclear", "faithfulness": "slightly_faithful", "plausibility": "weakly_plausible", "informativeness": "not_informative"}}]