{"id":"W3189708097","doi":"10.1109/icmcis52405.2021.9486420","title":"Electromagnetic Environment Situational Awareness","year":2021,"lang":"en","type":"article","venue":"","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Situation awareness; Electromagnetic environment; Systems engineering; Electromagnetic interference; Computer science; Command and control; Transmitter; Electromagnetic spectrum; Situation analysis; Visualization; Key (lock); Engineering; Telecommunications; Computer security; Aerospace engineering; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002121756,0.00005155247,0.0000544011,0.0000146095,0.00003039547,0.0000107805,0.0000250327,0.00001419605,0.00121056],"category_scores_gemma":[0.000006400655,0.00005265723,0.00001696851,0.00004821892,0.000009425951,0.00003110919,0.00001175895,0.00003145853,0.0002809278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003995279,"about_ca_system_score_gemma":0.00001044143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.819785e-7,"about_ca_topic_score_gemma":0.000002288403,"domain_scores_codex":[0.9996515,0.000006759158,0.00007486591,0.00007588592,0.0001021271,0.0000888898],"domain_scores_gemma":[0.9998623,0.00001907683,0.00000389072,0.00008238383,0.00001272716,0.00001958594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003432437,0.00009918417,0.006982841,0.00009371596,0.0002986924,0.00006167317,0.0004754312,0.1754885,0.7507637,0.012777,0.02607221,0.02688367],"study_design_scores_gemma":[0.0007231103,0.00005055142,0.12711,0.00001103905,0.00004196906,0.00007624619,0.0001966265,0.1067981,0.6840509,0.004501818,0.07579695,0.0006427582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7275551,0.003800153,0.1352022,0.0009270796,0.0003347059,0.0001281806,0.00000561535,0.0005637456,0.1314832],"genre_scores_gemma":[0.9923187,0.0001744268,0.005208332,0.00005403388,0.00004364893,0.00001617139,0.00001153248,0.0000101668,0.002163024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2647635,"threshold_uncertainty_score":0.9997025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007561987497274,"score_gpt":0.1960689175263839,"score_spread":0.1859932976514111,"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."}}