{"id":"W6980915654","doi":"","title":"Deep quantum-transformer networks for multi-modal beam prediction in ISAC systems","year":2024,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Iran Telecommunication Research Center; Queen's University; National Research Foundation of Korea; Canada Excellence Research Chairs, Government of Canada; National Research Foundation; Queen's University Belfast; National Science Foundation","keywords":"Beam (structure); Artificial neural network; Signal processing; Noise (video)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006260328,0.0006370907,0.0007550324,0.0003955382,0.0004559774,0.0009270877,0.00152961,0.001174738,0.007244592],"category_scores_gemma":[0.002033034,0.0005049384,0.0005620852,0.0004880725,0.0005758766,0.001627828,0.00106751,0.001455229,0.001251551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082566,"about_ca_system_score_gemma":0.001066927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101412,"about_ca_topic_score_gemma":0.02274407,"domain_scores_codex":[0.9998331,0.00004382274,0.000006810284,0.00003403733,0.00004432096,0.00003791826],"domain_scores_gemma":[0.9991295,0.0005389592,0.00004449714,0.00007342113,0.0001609011,0.00005266301],"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":[0.0001586014,0.00007728054,0.0007998254,0.0001029874,0.00007041065,0.00006655179,0.00005968577,0.8635472,0.002762586,0.01986771,0.006531977,0.1059551],"study_design_scores_gemma":[0.000001423855,0.000003272447,0.00002324297,0.000001858655,0.000001698319,0.000002614298,0.000002932558,0.9959723,0.0001823526,0.003683857,0.0001226537,0.000001671027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04577413,0.0009843789,0.9399534,0.001055187,0.0001545444,0.00005974387,0.000642271,0.002491195,0.008885086],"genre_scores_gemma":[0.8722718,0.0003619678,0.1156554,0.000420271,0.0001149334,0.00009632101,0.0008517003,0.0002475743,0.009979951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01101412,"threshold_uncertainty_score":0.02423555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054831086462759,"score_gpt":0.3043203283331342,"score_spread":0.2737720174685067,"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."}}