{"id":"W1860610487","doi":"10.1109/scft.1993.762345","title":"Subjective Test Methodology: MOS vs. DMOS in Evaluation of Speech Coding Algorithms","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Speech coding; Algorithm; Test (biology); Coding (social sciences); Speech recognition; Mathematics; Statistics","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":[0.005909032,0.0005947401,0.0004944406,0.001515372,0.0002987036,0.000715765,0.0005526106,0.0009758157,0.004996431],"category_scores_gemma":[0.02590816,0.0001285832,0.0003378,0.001125748,0.000421555,0.0006518277,0.0005835585,0.0004414288,0.0008977195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002567875,"about_ca_system_score_gemma":0.0002931998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006399555,"about_ca_topic_score_gemma":0.001384495,"domain_scores_codex":[0.9960496,0.001741008,0.0004743025,0.0003060783,0.001347995,0.00008089765],"domain_scores_gemma":[0.9722821,0.01894928,0.001171934,0.001091456,0.006029907,0.0004752818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01315486,0.001612033,0.07083858,0.002214152,0.0006406602,0.000389248,0.001110532,0.01284331,0.3277974,0.004280118,0.005228729,0.5598903],"study_design_scores_gemma":[0.001108884,0.02412211,0.3450921,0.0005504557,0.00120079,0.003568159,0.00165703,0.1962723,0.4079103,0.004812536,0.01319821,0.0005071074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6677763,0.001771629,0.309718,0.0002557275,0.0003942791,0.001235646,0.002741889,0.0008095932,0.01529681],"genre_scores_gemma":[0.8964853,0.0006032552,0.09593268,0.0002409379,0.0001437687,0.0008866819,0.001304409,0.0002420214,0.004160809],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005909032,"threshold_uncertainty_score":0.0312503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1222234911172098,"score_gpt":0.4010377439997647,"score_spread":0.2788142528825549,"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."}}