[{"id": 616966, "created": "2025-08-08T05:14:35.011167", "project_id": 294, "task_id": 649183, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T05:15:07.464334", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 219, "src": "as there is no closed form solution for the maximum likelihood estimate , we resort to iterative training via the em algorithm .", "target": "using the expectation maximization algorithm with viterbi decoding , we adopt the iterative parameter estimation procedure to solve the maximum likelihood estimation problem .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "plausible", "informativeness": "informative"}}, {"id": 622365, "created": "2025-08-15T08:45:44.629876", "project_id": 294, "task_id": 649183, "user_id": 325, "user_ip": null, "finish_time": "2025-08-15T08:46:17.999348", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 219, "src": "as there is no closed form solution for the maximum likelihood estimate , we resort to iterative training via the em algorithm .", "target": "using the expectation maximization algorithm with viterbi decoding , we adopt the iterative parameter estimation procedure to solve the maximum likelihood estimation problem .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "moderately_informative"}}]