{"id":"W2148106373","doi":"10.1109/lawp.2013.2247374","title":"Time-Domain Multistatic Radar System for Microwave Breast Screening","year":2013,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Polytechnique Montréal; McGill University","keywords":"Multistatic radar; Microwave imaging; Microwave; Computer science; Radar; Time domain; Breast cancer; Bistatic radar; Pulse (music); Electronic engineering; Radar imaging; Telecommunications; Engineering; Computer vision; Cancer; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004658334,0.0002162428,0.0003192745,0.0002217885,0.0001956393,0.0002610477,0.0004582729,0.0003611861,0.003329793],"category_scores_gemma":[0.000520519,0.0001235536,0.0001292953,0.0002122831,0.0001607143,0.0004603581,0.0003120938,0.0003833862,0.0007768306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121894,"about_ca_system_score_gemma":0.0002952371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001271048,"about_ca_topic_score_gemma":0.0002274867,"domain_scores_codex":[0.9996909,0.00007192369,0.0000145456,0.00006581101,0.0001268612,0.00002992276],"domain_scores_gemma":[0.9997144,0.00007461012,0.00004149179,0.00006883823,0.00006953937,0.00003106163],"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":[0.0003168612,0.0001443395,0.001209449,0.0001043377,0.00001148177,0.00007730555,0.00005188718,0.0004965196,0.9550936,0.001285664,0.0006792041,0.0405293],"study_design_scores_gemma":[0.0001758661,0.002401995,0.008949509,0.00002411122,0.00005554227,0.001873308,0.00005481358,0.02322178,0.9405735,0.0004519619,0.02217022,0.00004748753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5486205,0.00124962,0.4366373,0.0007596786,0.0005041821,0.0004801671,0.0005788986,0.0025504,0.008619167],"genre_scores_gemma":[0.7291886,0.0004275579,0.2651358,0.0004792058,0.0001468212,0.0003250903,0.000354078,0.00006690121,0.00387598],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003329793,"threshold_uncertainty_score":0.01113921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005735918467327456,"score_gpt":0.1842177571733089,"score_spread":0.1784818387059814,"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."}}