{"id":"W2547365694","doi":"","title":"Matched-filter detection of the presence of MPSK signals","year":2014,"lang":"en","type":"article","venue":"International Symposium on Information Theory and its Applications","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Matched filter; Computer science; Filter (signal processing); Filtering theory; Artificial intelligence; Computer vision","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":[0.0004481567,0.0004476724,0.0005587398,0.0008426158,0.0003069183,0.0007002361,0.0003985454,0.001077993,0.002008807],"category_scores_gemma":[0.003270874,0.0002090124,0.0002424024,0.0005543354,0.000278594,0.0007795061,0.000717502,0.0005615898,0.0005424343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105294,"about_ca_system_score_gemma":0.0004522982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004773447,"about_ca_topic_score_gemma":0.0006379067,"domain_scores_codex":[0.9994659,0.0000623133,0.00002810661,0.0000949764,0.0002699911,0.00007873835],"domain_scores_gemma":[0.9989053,0.0006370249,0.0001413571,0.00009643855,0.0001790599,0.00004077667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002819817,0.0002176157,0.006610192,0.0004374988,0.0001442747,0.001375631,0.0003156543,0.0198366,0.5176844,0.02047405,0.001670843,0.4284133],"study_design_scores_gemma":[0.00009663573,0.0006783972,0.01841764,0.0001185027,0.0001301314,0.003256249,0.0001636353,0.5415184,0.4123313,0.01590195,0.007307584,0.00007963865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4041847,0.000969236,0.5871724,0.0006173578,0.0003909041,0.00004995272,0.0004495571,0.0006134906,0.005552361],"genre_scores_gemma":[0.9330842,0.0002443635,0.06276061,0.000125441,0.00008538185,0.00002508879,0.0002259437,0.00002570718,0.003423258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002008807,"threshold_uncertainty_score":0.006720066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003803111894123524,"score_gpt":0.204127451302217,"score_spread":0.2003243394080935,"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."}}