{"id":"W2545735026","doi":"10.1109/acssc.2007.4487638","title":"Decentralized Collaborative Uplink Beamforming with Robustness Against Channel Mismatches","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Robustness (evolution); Telecommunications link; Fading; Computer science; Channel state information; Channel (broadcasting); Base station; Precoding; Computer network; Algorithm; Telecommunications; Electronic engineering; Engineering; MIMO; Wireless","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001500674,0.002173201,0.002753142,0.001152168,0.0006277029,0.001276435,0.00177604,0.0009157638,0.0001899177],"category_scores_gemma":[0.0001319386,0.002089455,0.0003089216,0.001852578,0.00047056,0.001626243,0.0002180494,0.00134847,0.0002032665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102974,"about_ca_system_score_gemma":0.001130627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002612318,"about_ca_topic_score_gemma":0.0006046448,"domain_scores_codex":[0.9905989,0.000505819,0.002866738,0.002132321,0.001195144,0.00270114],"domain_scores_gemma":[0.9921685,0.0008548431,0.001431036,0.001623343,0.002675078,0.001247163],"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":[0.001740075,0.0006183621,0.001752674,0.002609724,0.001694124,0.0006391372,0.00591543,0.4915438,0.007589944,0.01236418,0.002694854,0.4708377],"study_design_scores_gemma":[0.003362952,0.001027251,0.0001376859,0.006564717,0.0001633618,0.0001280578,0.008127439,0.9673607,0.0025937,0.0003117114,0.00670603,0.003516384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04623216,0.0004626088,0.9335768,0.0001655651,0.00418026,0.003340054,0.0001278715,0.001851623,0.01006312],"genre_scores_gemma":[0.9502384,0.001813814,0.04568619,0.00011547,0.0005145327,0.000461452,0.0003332033,0.0003596037,0.0004773281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9040062,"threshold_uncertainty_score":0.9997603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905629653145266,"score_gpt":0.2466842825005734,"score_spread":0.2176279859691208,"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."}}