{"id":"W2808293845","doi":"10.1109/radar.2018.8378577","title":"Design considerations for a shipboard MIMO radar for surface target detection","year":2018,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Radar; MIMO; Beamforming; Computer science; Radar engineering details; Phased array; Continuous-wave radar; Radar lock-on; Fire-control radar; Electronic engineering; 3G MIMO; Bistatic radar; Pulse-Doppler radar; Radar imaging; Active electronically scanned array; Antenna (radio); Telecommunications; Engineering","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":[0.0004465343,0.0005723578,0.0004045761,0.000259443,0.0003364336,0.0009294004,0.0006885192,0.0007034825,0.002722168],"category_scores_gemma":[0.001033969,0.0002841512,0.0004056362,0.0001450292,0.0002407037,0.0006912819,0.0003003725,0.0006818908,0.001106433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133443,"about_ca_system_score_gemma":0.0004959875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188615,"about_ca_topic_score_gemma":0.00119947,"domain_scores_codex":[0.9995213,0.0001009934,0.00002159572,0.00007941458,0.0002439951,0.00003272976],"domain_scores_gemma":[0.9994627,0.0001711038,0.0001051728,0.00004701487,0.0001953178,0.00001875189],"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":[0.0002577215,0.0001097983,0.001930733,0.0006344148,0.00007696222,0.0003927698,0.0001934939,0.7644696,0.1158927,0.0210513,0.002273194,0.09271737],"study_design_scores_gemma":[0.0000596321,0.0008102611,0.0008729543,0.00003984006,0.00007729386,0.0004078793,0.00004936194,0.9621617,0.02117812,0.002806265,0.01151066,0.00002594759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01629245,0.0002834778,0.9716277,0.0003954119,0.00007318669,0.0001124243,0.00007905885,0.0006140395,0.01052225],"genre_scores_gemma":[0.8230439,0.0005608677,0.1687596,0.0003083012,0.00009239523,0.0002307784,0.0001168639,0.00009164674,0.006795647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002722168,"threshold_uncertainty_score":0.009106576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958936120670541,"score_gpt":0.2451096319735326,"score_spread":0.2055202707668272,"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."}}