{"id":"W4285147830","doi":"10.1109/tit.2022.3187669","title":"State-Dependent Symbol-Wise Decode and Forward Codes Over Multihop Relay Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relay; Linear network coding; Computer science; Header; Network packet; Upper and lower bounds; Computer network; Telecommunications link; Mathematics","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":[0.001244124,0.0009118471,0.0007471905,0.0008655034,0.0003730557,0.0007539597,0.0008874015,0.0007213576,0.0007699511],"category_scores_gemma":[0.006198657,0.000372904,0.0003781269,0.0008595961,0.0009771116,0.001526176,0.001116729,0.0009735767,0.0002283723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010091,"about_ca_system_score_gemma":0.000684733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563809,"about_ca_topic_score_gemma":0.001162605,"domain_scores_codex":[0.9991279,0.0002955102,0.00004574327,0.00008445736,0.0003180534,0.0001283233],"domain_scores_gemma":[0.9944866,0.003951126,0.0005792085,0.0003361661,0.0005438426,0.0001030682],"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":[0.0002973389,0.00007081402,0.000743666,0.0003878041,0.00007379129,0.0004166074,0.0004148013,0.7796382,0.02020805,0.1356518,0.001309431,0.06078764],"study_design_scores_gemma":[0.00001775936,0.000101591,0.0001221654,0.00002138016,0.00001678673,0.0001089993,0.00003089642,0.9761451,0.004664169,0.01792508,0.0008257699,0.00002014158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1344275,0.003359969,0.8560333,0.0004026653,0.00008896057,0.00007381396,0.0001229336,0.0004048495,0.005085938],"genre_scores_gemma":[0.9493424,0.002216971,0.04554874,0.00007464289,0.000073551,0.0001014415,0.00009618895,0.00003415615,0.002511922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001563809,"threshold_uncertainty_score":0.007321596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148312834417782,"score_gpt":0.2402560892233626,"score_spread":0.2287729608791848,"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."}}