{"id":"W4408354399","doi":"10.1109/icassp49660.2025.10889750","title":"Combined object-based audio and MASA format for enhanced spatial mobile communication","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"VoiceAge (Canada)","funders":"","keywords":"Computer science; Object (grammar); Mobile telephony; Mobile computing; Multimedia; Mobile radio; Artificial intelligence; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001654546,0.000110887,0.000152205,0.0001058923,0.000186359,0.00009396536,0.0008260621,0.00005369591,0.000009109402],"category_scores_gemma":[0.0000460565,0.0000982524,0.00003353728,0.0001786435,0.00004970816,0.0005003772,0.0005181526,0.00007662767,0.000002833355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003346895,"about_ca_system_score_gemma":0.00005317873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002812948,"about_ca_topic_score_gemma":0.00002131566,"domain_scores_codex":[0.9992301,0.00004312732,0.0002178923,0.0002510449,0.00009625188,0.0001616247],"domain_scores_gemma":[0.9984761,0.0003087769,0.00008123458,0.0009931118,0.0001020685,0.00003871416],"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":[0.0001737179,0.0002647454,0.000141077,0.0001732248,0.00002601984,5.536938e-7,0.0003386142,0.0002172054,0.04748726,0.1917945,0.03231486,0.7270682],"study_design_scores_gemma":[0.001221444,0.0002603244,0.0002397265,0.00008429867,0.000005297649,3.461686e-7,0.00002606253,0.2036329,0.7478761,0.03054759,0.0159149,0.0001910108],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00175377,0.00007626205,0.9939163,0.000458513,0.00007564622,0.0007627305,0.000008625744,0.0005527997,0.002395405],"genre_scores_gemma":[0.5583151,0.00002687333,0.4403211,0.0005621612,0.000003513217,0.0004348399,0.00002752272,0.000004079646,0.0003048303],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7268773,"threshold_uncertainty_score":0.4006616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006724670466334102,"score_gpt":0.2818457464932979,"score_spread":0.2751210760269637,"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."}}