{"id":"W2149492558","doi":"10.1109/tmc.2007.1046","title":"Enhancing WLAN Capacity by Strategic Placement of Tetherless Relay Points","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Relay; Wireless; Throughput; Wireless network; Rayleigh fading; Telecommunications; Channel (broadcasting); Fading","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007342923,0.0009374625,0.0006665838,0.0006672954,0.0003418255,0.0007994708,0.001207361,0.0007345725,0.001245067],"category_scores_gemma":[0.00353043,0.0003897584,0.0003872634,0.0005678927,0.000596708,0.001590356,0.001342095,0.0005599033,0.0006136587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005047668,"about_ca_system_score_gemma":0.0004492178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007892964,"about_ca_topic_score_gemma":0.001052961,"domain_scores_codex":[0.9995298,0.0001879104,0.00002139774,0.00006640585,0.00008420071,0.0001102071],"domain_scores_gemma":[0.9985542,0.000736401,0.0002192019,0.0002162939,0.0001913095,0.00008271895],"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":[0.0002368144,0.00009616634,0.001211533,0.00008604238,0.00003779521,0.0003865841,0.00009677798,0.8920846,0.03795205,0.01220982,0.0006588098,0.05494298],"study_design_scores_gemma":[0.00003825965,0.0002796805,0.0003838863,0.00001354735,0.00005173559,0.0002769731,0.00009450823,0.9760838,0.01655164,0.004900324,0.001298471,0.00002720869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2332026,0.0006639053,0.7552216,0.0002721626,0.00007053092,0.00005076553,0.00006228144,0.001069729,0.009386472],"genre_scores_gemma":[0.9650209,0.0001806893,0.03422879,0.0000208465,0.00001933665,0.00001791258,0.0000171997,0.00001995334,0.0004743665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001245067,"threshold_uncertainty_score":0.004165232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386591117645162,"score_gpt":0.2722350650442569,"score_spread":0.2483691538678053,"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."}}