{"id":"W1622035491","doi":"10.1109/icupc.1993.528349","title":"Ray tracing for indoor radio channel estimation","year":2002,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Transmitter; Computer science; Ray tracing (physics); Impulse (physics); Propagation delay; Radio propagation model; Wavefront; Channel (broadcasting); Path loss; Electronic engineering; Radio propagation; Impulse response; Delay spread; Position (finance); Base station; Multipath propagation; Acoustics; Telecommunications; Engineering; Computer network; Optics; Physics; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00007331735,0.00007034585,0.00007348629,0.00005987578,0.00004170959,0.00002262833,0.00003474274,0.00003739565,0.0001811321],"category_scores_gemma":[0.00001828953,0.0000675111,0.00003536411,0.00004839637,0.000003426114,0.0001106605,0.000003181607,0.00004191931,0.00005737544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002237295,"about_ca_system_score_gemma":0.000001064782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001321249,"about_ca_topic_score_gemma":0.000001206625,"domain_scores_codex":[0.9996085,0.000003651715,0.000131744,0.00007831526,0.00005231404,0.0001254754],"domain_scores_gemma":[0.9998394,0.00002240147,0.00001076253,0.00007069037,0.00001940837,0.00003738112],"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":[0.000002225117,0.00001253734,0.000002080337,0.00009428803,0.00001908391,3.747429e-7,0.0009920333,0.9125863,0.01344765,0.00008667081,0.002995632,0.0697611],"study_design_scores_gemma":[0.0002552454,0.00001098457,0.00000382226,0.0000102154,0.000005729137,0.000001785518,0.00002736367,0.9597885,0.03942993,0.0001411959,0.0002353484,0.00008985256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02075523,0.0001596255,0.9743308,0.00006125671,0.0002115695,0.0001828154,0.000002154918,0.0002878652,0.004008684],"genre_scores_gemma":[0.9640874,0.00002309783,0.03512971,0.00006156489,0.0000658364,0.00003554452,0.0000072031,0.00001965007,0.0005699856],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9433322,"threshold_uncertainty_score":0.2753023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03575414108991374,"score_gpt":0.2179198372006307,"score_spread":0.182165696110717,"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."}}