{"id":"W1739793028","doi":"","title":"Microwave breast tumor detection exploiting wideband Jacobians","year":2008,"lang":"en","type":"article","venue":"International Conference on Microwaves, Radar & Wireless Communications","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Jacobian matrix and determinant; Wideband; Solver; Computation; Computer science; Overhead (engineering); Finite-difference time-domain method; Algorithm; Convergence (economics); Electronic engineering; Mathematics; Applied mathematics; 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":[0.0001755247,0.0003266225,0.0002227738,0.0003829815,0.00006935927,0.0003122873,0.0001741633,0.0002177434,0.0006693961],"category_scores_gemma":[0.0008029695,0.0001648605,0.0001838193,0.0001945041,0.0001946191,0.0003486737,0.0004161782,0.0001347731,0.0002889129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217378,"about_ca_system_score_gemma":0.0002003011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142718,"about_ca_topic_score_gemma":0.001158561,"domain_scores_codex":[0.9999371,0.00001092341,0.000002558813,0.00001005299,0.00003271328,0.000006850704],"domain_scores_gemma":[0.9998912,0.0000450053,0.00002123086,0.0000146121,0.00002058888,0.000007384847],"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":[0.0001607543,0.00004528431,0.004129122,0.000127216,0.00002844328,0.0004103297,0.0001824799,0.2888181,0.5168865,0.009020216,0.000763131,0.1794284],"study_design_scores_gemma":[0.000008980539,0.0000388213,0.003438004,0.000007844522,0.00001159574,0.0005144387,0.00003218423,0.9433367,0.04650507,0.004653529,0.001436029,0.00001692803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1057982,0.0001058929,0.8913044,0.00005604609,0.000007467817,0.00001926812,0.00004704644,0.0008132342,0.001848523],"genre_scores_gemma":[0.7620438,0.0002680229,0.2349487,0.00002854809,0.00001206812,0.00002459484,0.0001474286,0.0000958773,0.00243086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001142718,"threshold_uncertainty_score":0.002272189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708671694363534,"score_gpt":0.2516875128049051,"score_spread":0.2146007958612698,"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."}}