{"id":"W2120448104","doi":"10.1109/tcomm.2004.836447","title":"Multihop Diversity in Wireless Relaying Channels","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":673,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Channel (broadcasting); Computer science; Computer network; Wireless; Transmission (telecommunications); Signal-to-noise ratio (imaging); Electronic engineering; Topology (electrical circuits); Telecommunications; Engineering; Electrical engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000300702,0.0001436903,0.0001527394,0.0002829975,0.001448069,0.00009343861,0.002910397,0.00007268869,0.00001421899],"category_scores_gemma":[0.000007393217,0.0001619058,0.00008535391,0.001046325,0.0001171943,0.0005395871,0.0001244675,0.0005804018,0.00009736358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247612,"about_ca_system_score_gemma":0.0000767346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001639588,"about_ca_topic_score_gemma":0.001443054,"domain_scores_codex":[0.998841,0.0002217142,0.0002692714,0.0002633019,0.000174952,0.0002297113],"domain_scores_gemma":[0.9968907,0.000244946,0.00006669581,0.002606285,0.0001038006,0.00008754301],"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":[0.00003926633,0.004141386,0.0004386667,0.00002265986,0.0001299901,0.00001548053,0.02981417,0.188428,0.00459556,0.290794,0.0001646306,0.4814162],"study_design_scores_gemma":[0.01164882,0.0005378874,0.00718573,0.001265561,0.00008376512,0.0000842336,0.001924993,0.9082745,0.03286492,0.02317974,0.009871963,0.003077898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01619443,0.0001658494,0.9738241,0.007023124,0.0002905329,0.0002519455,0.000003554874,0.0002469642,0.001999451],"genre_scores_gemma":[0.9809412,0.002442277,0.01599105,0.0004145082,0.000007934882,0.00007323411,0.000002538015,0.00000980654,0.0001174723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9647468,"threshold_uncertainty_score":0.9998519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09475132157149174,"score_gpt":0.3027697721859978,"score_spread":0.2080184506145061,"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."}}