{"id":"W4408324703","doi":"10.1109/globecom52923.2024.10901459","title":"Predictive Beamforming Approach for Secure Integrated Sensing and Communication","year":2024,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Memorial University of Newfoundland","funders":"","keywords":"Beamforming; Computer science; Computer network; Telecommunications","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":[0.00006940594,0.00005650712,0.00005069059,0.00004406707,0.00003940678,0.00005366565,0.00002301563,0.0000440925,0.000003098716],"category_scores_gemma":[0.000007255011,0.00004761178,0.0000134918,0.0000895409,0.00001366083,0.0001303503,0.000007561593,0.00006740369,7.212033e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002316221,"about_ca_system_score_gemma":0.000005063078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005698207,"about_ca_topic_score_gemma":0.000002419506,"domain_scores_codex":[0.9997676,0.000005855065,0.00006811947,0.00006676246,0.00002568723,0.00006597731],"domain_scores_gemma":[0.9998592,0.00003587035,0.000003858417,0.00005917427,0.0000246024,0.00001730351],"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":[0.00008895159,0.00004060402,0.0001006369,0.001990221,0.0005449115,0.000003267388,0.0185533,0.6206002,0.02195712,0.04096488,0.01749056,0.2776654],"study_design_scores_gemma":[0.0000579483,0.0000103101,0.000005091991,0.0000419203,0.0000134107,0.000005498334,0.0006933462,0.997394,0.0004784742,0.0002225096,0.001020082,0.00005741053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007808144,0.0008734839,0.9917222,0.00002142463,0.00003829011,0.0001675044,0.000005501148,0.000456984,0.005933787],"genre_scores_gemma":[0.7354645,0.0001550771,0.2639725,0.0000144868,0.00002046491,0.000007530427,0.0001102584,0.00001951521,0.0002356758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7346837,"threshold_uncertainty_score":0.1941552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008427010219974192,"score_gpt":0.2001919698030216,"score_spread":0.1917649595830475,"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."}}