{"id":"W2176481656","doi":"10.1155/2007/95218","title":"Packet-Loss Modeling for Perceptually Optimized 3D Transmission","year":2007,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Packet loss; Network packet; Computer network; Transmission delay; Transmission (telecommunications); Real-time computing; Wireless ad hoc network; Processing delay; Metric (unit); Wireless; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005567736,0.0001760997,0.0002351088,0.0002020741,0.0001158237,0.00004207093,0.0009597691,0.0001271565,0.000008044974],"category_scores_gemma":[0.000198033,0.0001426404,0.00007698633,0.000298965,0.0000656809,0.000711664,0.0001240903,0.000201321,0.000008259593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004049322,"about_ca_system_score_gemma":0.00003156627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005253523,"about_ca_topic_score_gemma":0.000006632516,"domain_scores_codex":[0.9984846,0.00002445144,0.0003627129,0.0004494191,0.0002320727,0.0004467736],"domain_scores_gemma":[0.9989456,0.0004128187,0.00007111707,0.0004088353,0.00008237248,0.00007925265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005675303,0.00004758433,0.000088851,0.00001907259,0.000002472106,0.000009869455,0.0008369441,0.03208621,0.0009884323,0.0007453428,0.00002900677,0.9650894],"study_design_scores_gemma":[0.001195387,0.00006308126,0.00004067698,0.0001135536,0.000002472532,0.000003819815,0.0002144723,0.9791179,0.004404256,0.009863229,0.004758877,0.0002223185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007514009,0.002945037,0.9875465,0.0004230302,0.0003888516,0.0002559662,0.00000130657,0.0004864962,0.0004388198],"genre_scores_gemma":[0.3364365,0.001045587,0.6623217,0.00006971261,0.00003706871,0.00003588114,0.000002131091,0.000009155988,0.00004216934],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9648671,"threshold_uncertainty_score":0.5816707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143002362437493,"score_gpt":0.3069691622868267,"score_spread":0.2855391386624518,"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."}}