{"id":"W2165795763","doi":"10.1109/icc.1997.604947","title":"A fast algorithm for computerized indoor radio channel estimation","year":2002,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Algorithm; Ray tracing (physics); Base station; Floor plan; Channel (broadcasting); Impulse (physics); Set (abstract data type); Radio channel; Real-time computing; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007880173,0.0008914906,0.000720782,0.001178736,0.0005806152,0.001091578,0.001183488,0.001120506,0.006855803],"category_scores_gemma":[0.003631151,0.0004917859,0.0004987105,0.001253604,0.0005147664,0.00141493,0.001023131,0.001045044,0.003209687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005249725,"about_ca_system_score_gemma":0.001430344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005143172,"about_ca_topic_score_gemma":0.005375433,"domain_scores_codex":[0.9994699,0.0001130683,0.00003275999,0.0001085137,0.0002287471,0.00004695638],"domain_scores_gemma":[0.9990757,0.0004670687,0.00004960917,0.0001196366,0.0002634481,0.00002447919],"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":[0.0001663672,0.00005023253,0.0004385423,0.00007855656,0.00003974653,0.00005837588,0.00005500395,0.1453703,0.007760437,0.01822392,0.006569971,0.8211886],"study_design_scores_gemma":[0.00005620195,0.00006228255,0.0002717649,0.00001380707,0.00001405238,0.0001325045,0.00001682536,0.9730612,0.004320045,0.01041167,0.01161562,0.00002403786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006245423,0.00005808666,0.9983943,0.00002549604,0.00001817512,0.00001907267,0.00002186485,0.000589175,0.0002492257],"genre_scores_gemma":[0.02036585,0.000137737,0.9773785,0.00003682031,0.0000397664,0.000175719,0.0001777919,0.00007470386,0.001613039],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006855803,"threshold_uncertainty_score":0.02293497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727548096257233,"score_gpt":0.2134524127908066,"score_spread":0.1861769318282343,"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."}}