{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001582527,0.0002089685,0.0002606171,0.0001350341,0.0001526958,0.0001653198,0.00009579578,0.00004663589,0.00001029892],"category_scores_gemma":[0.000002790343,0.0001971154,0.00008549281,0.0001203903,0.00008020282,0.0002085348,0.00001019643,0.0001008358,0.00005485943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004777282,"about_ca_system_score_gemma":0.000004638072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007712409,"about_ca_topic_score_gemma":0.000003190229,"domain_scores_codex":[0.9989938,0.00003426451,0.000295068,0.0002517959,0.0001123501,0.0003127691],"domain_scores_gemma":[0.9995655,0.00004817151,0.00006473618,0.0001688913,0.00006283222,0.00008982253],"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":[0.00000574076,0.000005601049,0.00009328001,0.0003343995,0.00008402955,0.000004689677,0.0003106771,0.0006468297,0.9817365,0.000008397333,0.003523688,0.0132462],"study_design_scores_gemma":[0.001184397,0.00002477711,0.001021404,0.000620308,0.000100282,0.0002253087,0.0007451986,0.917098,0.07793915,0.00002101496,0.0003225805,0.0006975714],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6043028,0.00004941351,0.3941397,0.0008942974,0.0001004968,0.0002607605,0.00002174434,0.0002073011,0.0000234685],"genre_scores_gemma":[0.9907104,0.000009128609,0.00860043,0.0002878934,0.0001243706,0.00008660397,0.00003872245,0.00005281309,0.00008961652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9164512,"threshold_uncertainty_score":0.8038135,"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."}}