{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003421967,0.0004337481,0.0003037508,0.00126259,0.0004909296,0.00180063,0.0004067404,0.0006231813,0.005282061],"category_scores_gemma":[0.00103187,0.0001737786,0.0001982025,0.0009019467,0.0003271361,0.001868953,0.002029916,0.0006940544,0.001614322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002549507,"about_ca_system_score_gemma":0.0005143167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008640729,"about_ca_topic_score_gemma":0.001456565,"domain_scores_codex":[0.999674,0.00008430903,0.00001426239,0.0000587139,0.0001165489,0.00005219229],"domain_scores_gemma":[0.9995493,0.0001197861,0.00006179864,0.00009605413,0.0001320527,0.00004095426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002154963,0.0001999007,0.01029591,0.0009590734,0.000110502,0.0006997131,0.001484683,0.02646172,0.04397615,0.08055089,0.04755618,0.7874898],"study_design_scores_gemma":[0.0000302449,0.0004337092,0.02430127,0.0006394787,0.0001603329,0.002526879,0.003754126,0.07040383,0.02948081,0.06862171,0.7994763,0.0001713209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07288644,0.004795548,0.4773787,0.002628257,0.0009887208,0.0004262294,0.002295811,0.005098246,0.4335021],"genre_scores_gemma":[0.8842539,0.004107341,0.08539157,0.0007136811,0.0003558445,0.0001439271,0.001791666,0.000191703,0.02305035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005282061,"threshold_uncertainty_score":0.01767027,"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."}}