{"id":"W2172080133","doi":"10.1109/vetecf.2007.250","title":"Optimum Power Allocation for Fading Relay Channels","year":2007,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Computer science; Transmitter power output; Broadcasting (networking); Transmission (telecommunications); Fading; MIMO; Power (physics); Key (lock); Relay channel; Computer network; Electronic engineering; Telecommunications; Engineering; Channel (broadcasting); Transmitter","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":[0.0007496309,0.0001662202,0.0001866903,0.0003662895,0.0003016686,0.0001008553,0.001490898,0.0002509132,0.00001135128],"category_scores_gemma":[0.000130301,0.0001672842,0.00006042412,0.0008065046,0.0001312764,0.0002760146,0.0002304819,0.0002886206,0.00004123065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006410498,"about_ca_system_score_gemma":0.00007505487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.842272e-7,"about_ca_topic_score_gemma":0.000009685096,"domain_scores_codex":[0.9986985,0.00003734884,0.0002920362,0.0004292846,0.0001376471,0.0004052207],"domain_scores_gemma":[0.998262,0.0001271359,0.0001214668,0.000954777,0.000469415,0.00006518901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008886408,0.00007012425,0.0001353231,0.000008219415,0.00003804367,0.00001200413,0.0005737062,0.0005772997,0.09666848,0.7634807,0.0007416016,0.1376856],"study_design_scores_gemma":[0.001493448,0.0004963486,0.0003873521,0.0002208626,0.00002324678,0.00009733444,0.0002715515,0.4369239,0.4063643,0.02075963,0.1318767,0.001085375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04017623,0.0003581122,0.9507511,0.006477535,0.0005402752,0.0003588515,5.909415e-7,0.000556408,0.0007809558],"genre_scores_gemma":[0.9468665,0.0001402462,0.05220287,0.0004369033,0.00003226022,0.00006886897,0.000003280394,0.00001117482,0.0002379568],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9066902,"threshold_uncertainty_score":0.6821653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624387971234087,"score_gpt":0.2892722492453604,"score_spread":0.2530283695330195,"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."}}