{"id":"W2040838595","doi":"10.1109/tbme.2012.2220768","title":"Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Microwave imaging; Thermoacoustics; Radar; Modality (human–computer interaction); Microwave; Computer science; Finite-difference time-domain method; Set (abstract data type); Process (computing); Acoustics; Artificial intelligence; Physics; Optics; 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":[0.001388224,0.0004927276,0.0005579577,0.0008820024,0.000172412,0.0007676979,0.0009665273,0.001246153,0.001161086],"category_scores_gemma":[0.003626178,0.0003339381,0.0005225494,0.0004772771,0.0007913442,0.001086222,0.001130547,0.0007861201,0.0004234573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002664893,"about_ca_system_score_gemma":0.000377447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001745525,"about_ca_topic_score_gemma":0.0002883056,"domain_scores_codex":[0.9991111,0.0002769291,0.00003366728,0.000145797,0.0003827958,0.00004968456],"domain_scores_gemma":[0.9988777,0.0006332716,0.0001475941,0.0001204244,0.0001591869,0.00006178222],"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":[0.001279393,0.0004846611,0.006608568,0.000575623,0.0001901774,0.0004385975,0.0002359846,0.06742448,0.4468139,0.03536349,0.001644149,0.4389409],"study_design_scores_gemma":[0.00006394105,0.0004165105,0.003430224,0.00002870969,0.00008703541,0.001650054,0.00004522336,0.8713625,0.108645,0.01134129,0.00283044,0.00009903893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02601505,0.0004741531,0.9717574,0.0002701594,0.00003965215,0.00004041159,0.0000430347,0.0002276954,0.001132547],"genre_scores_gemma":[0.4119124,0.0005888105,0.5848603,0.0002462781,0.0001408826,0.0001350502,0.00009324406,0.0000530075,0.001969978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001388224,"threshold_uncertainty_score":0.007341683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107265643314133,"score_gpt":0.2199257347417812,"score_spread":0.2088530783086399,"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."}}