{"id":"W1493808029","doi":"","title":"Clutter removal in the automatic detection of concealed weapons with late time responses","year":2013,"lang":"en","type":"article","venue":"European Radar Conference","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Clutter; Radar; Artificial intelligence; Computer science; Constant false alarm rate; Ground-penetrating radar; Continuous-wave radar; Matrix pencil; Computer vision; Algorithm; Eigenvalues and eigenvectors; Radar imaging; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006612883,0.0005657845,0.0003976145,0.0008511234,0.0001941896,0.0004286869,0.0004979311,0.0005453855,0.0006118031],"category_scores_gemma":[0.001612396,0.0002395507,0.0002870281,0.0004603476,0.0003208224,0.0005708177,0.0004387981,0.0004000327,0.0005802513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134967,"about_ca_system_score_gemma":0.0002323775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004769203,"about_ca_topic_score_gemma":0.0007435349,"domain_scores_codex":[0.9996624,0.0000884853,0.00001468736,0.00006661415,0.0001230571,0.00004480113],"domain_scores_gemma":[0.999228,0.0003864961,0.0001297068,0.00007350859,0.0001326452,0.00004954647],"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":[0.001219739,0.0001946942,0.004331022,0.0001563311,0.0000439151,0.0004371868,0.0002451075,0.04449213,0.5230584,0.001605502,0.0007967267,0.4234192],"study_design_scores_gemma":[0.00002817429,0.0003411846,0.01518082,0.00001829026,0.00004749398,0.0009777467,0.0000795778,0.819587,0.1612043,0.001045535,0.001445414,0.00004439237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2881431,0.0003834893,0.7094266,0.00007591773,0.00003408745,0.00002234352,0.00004373985,0.0008267631,0.001043954],"genre_scores_gemma":[0.8123223,0.0002284966,0.185456,0.00005761787,0.00003316026,0.00002434711,0.0001240634,0.00009436159,0.001659656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008511234,"threshold_uncertainty_score":0.003497243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079861450922337,"score_gpt":0.2085295698706708,"score_spread":0.1977309553614474,"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."}}