{"id":"W2098371894","doi":"10.1109/icc.1997.605183","title":"Combined source-channel coding for the transmission of still images over a code division multiple access (CDMA) channel","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Code division multiple access; Channel (broadcasting); Bit error rate; Algorithm; Coding (social sciences); Telecommunications link; Channel allocation schemes; Discrete cosine transform; Decoding methods; Electronic engineering; Wireless; Computer network; Telecommunications; Mathematics; Image (mathematics); Engineering; Artificial intelligence","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":[0.0004545995,0.0004784874,0.0003546662,0.0003858697,0.0002205063,0.0004059306,0.0004454358,0.0004113907,0.0009609478],"category_scores_gemma":[0.0008831376,0.0001712736,0.0002783737,0.0004715435,0.0004337338,0.0006548514,0.0004241734,0.000548822,0.0001935905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004145,"about_ca_system_score_gemma":0.0006294579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001590731,"about_ca_topic_score_gemma":0.003156292,"domain_scores_codex":[0.9995903,0.0001030959,0.00001042393,0.00002513965,0.000235962,0.0000350931],"domain_scores_gemma":[0.9995773,0.0002330705,0.00003531304,0.00004245161,0.00009998641,0.00001186092],"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":[0.0004630102,0.0001291652,0.0005828199,0.0003267865,0.00009591565,0.0003580128,0.0001605599,0.6247486,0.09853126,0.08694573,0.002400266,0.185258],"study_design_scores_gemma":[0.00001493144,0.00006797688,0.00008902373,0.000009991176,0.00001988175,0.00005755483,0.00001055745,0.9787934,0.01660871,0.003226435,0.001092781,0.000008716072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02890894,0.0005134559,0.9681608,0.0001272939,0.00003977205,0.00004043418,0.00002951152,0.0001348514,0.002044837],"genre_scores_gemma":[0.7054,0.0009454389,0.2886423,0.00007723666,0.00008715445,0.0001328525,0.0001010419,0.0000465851,0.004567318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001590731,"threshold_uncertainty_score":0.003214657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05591425816859401,"score_gpt":0.3097191744401707,"score_spread":0.2538049162715766,"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."}}