{"id":"W2004665780","doi":"10.1049/el:20010693","title":"Multiple transmit multiple receive (MTMR) capacitysurvey in Manhattan","year":2001,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications; Computer science; Wireless; Transmitter; Electrical engineering; Computer network; Electronic engineering; Engineering; Channel (broadcasting)","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":[0.0007653233,0.0005516288,0.0003572362,0.00223812,0.0005624488,0.0009140627,0.000507735,0.0002044184,0.003398933],"category_scores_gemma":[0.002514544,0.0002699575,0.0002224142,0.005305905,0.0006168052,0.0009641644,0.0006677455,0.0002923679,0.0006492501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002579714,"about_ca_system_score_gemma":0.001695337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07873247,"about_ca_topic_score_gemma":0.09242755,"domain_scores_codex":[0.9994254,0.0001408825,0.00002495232,0.00007824591,0.0001735495,0.0001569822],"domain_scores_gemma":[0.9971963,0.0008662084,0.0003073778,0.0001986699,0.00128333,0.0001480113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007663149,0.0001820277,0.1187702,0.001116182,0.0006496123,0.001517097,0.001158365,0.4324891,0.0087325,0.08485885,0.06471573,0.285044],"study_design_scores_gemma":[0.00007262194,0.0006919759,0.321678,0.000523724,0.0004774044,0.002562095,0.002441886,0.4720498,0.0311838,0.02939365,0.1385349,0.0003901864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772636,0.03036977,0.03880016,0.001326481,0.0001860313,0.0000662514,0.008006942,0.0006569664,0.04332372],"genre_scores_gemma":[0.977997,0.01132958,0.002916933,0.0001191139,0.00008085038,0.00003968962,0.00204692,0.00004968883,0.005420201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07873247,"threshold_uncertainty_score":0.1565484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008291051664673135,"score_gpt":0.1976727669759044,"score_spread":0.1893817153112312,"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."}}