{"id":"W2080833106","doi":"10.1109/mmsp.2006.285315","title":"Robust Index Assignment for MDSQ Encoder Over Noisy Channels","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Encoder; Algorithm; Computer science; Distortion (music); Decoding methods; Residual; Coding (social sciences); Rate–distortion theory; Error detection and correction; Mathematics; Data compression; Bandwidth (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009420571,0.0004602695,0.0006884059,0.0003664508,0.0003230023,0.0004498216,0.0006476763,0.0004452496,0.000630332],"category_scores_gemma":[0.002559093,0.0001724722,0.0001991081,0.0004347099,0.0004278586,0.0005796985,0.0006103287,0.0005402569,0.0002137933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005543726,"about_ca_system_score_gemma":0.0008202908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009672476,"about_ca_topic_score_gemma":0.000876582,"domain_scores_codex":[0.9993624,0.0001794686,0.00004352852,0.0001057734,0.0002684582,0.00004047651],"domain_scores_gemma":[0.9991795,0.0003106244,0.0001889315,0.0001217571,0.0001738438,0.00002524698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006882995,0.00008823279,0.00115766,0.0002402244,0.00005752987,0.0002662904,0.0002887963,0.4449412,0.1344941,0.05689292,0.002369317,0.3585154],"study_design_scores_gemma":[0.00002584258,0.00007096474,0.0001199454,0.000009503673,0.000007836124,0.00008234747,0.00001318508,0.9684342,0.0258269,0.004509649,0.0008885689,0.00001099986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03417658,0.0001949854,0.9646313,0.00009155652,0.00002356269,0.00003052596,0.00004834721,0.0003582706,0.0004449027],"genre_scores_gemma":[0.6053416,0.0001647693,0.3924606,0.00006587553,0.0000273948,0.00009714319,0.000166998,0.00004173215,0.001633932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009672476,"threshold_uncertainty_score":0.004982114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563278424534054,"score_gpt":0.2659110688624788,"score_spread":0.2402782846171382,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}