{"id":"W2145496575","doi":"10.1109/tmag.2009.2012768","title":"Microwave-Induced Thermoacoustics: Assisting Microwave Tomography","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Pennsylvania","keywords":"Thermoacoustics; Microwave; Microwave imaging; Tomography; Computer science; Microwave engineering; Finite element method; Dielectric; Acoustics; Cosmic microwave background; Physics; Optics; Optoelectronics; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001208433,0.0003278304,0.0002758793,0.0003697557,0.0001802342,0.0001187421,0.0002214785,0.000138223,0.0001506196],"category_scores_gemma":[0.000003458365,0.0003561086,0.0002600888,0.0005029301,0.00004446305,0.00006254347,7.228025e-7,0.0004723821,0.0001079644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006437245,"about_ca_system_score_gemma":0.0000146214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001064761,"about_ca_topic_score_gemma":0.00002124402,"domain_scores_codex":[0.9986382,0.00003718632,0.0003559169,0.0003150488,0.0001997209,0.0004539488],"domain_scores_gemma":[0.9992242,0.00006033142,0.00003947662,0.0004763682,0.00005967919,0.0001398866],"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":[0.000006535141,0.00007096059,0.000005709258,0.00002105957,0.00006832396,0.00001302036,0.0001916381,0.0268878,0.7445463,0.000002757545,0.0006962686,0.2274897],"study_design_scores_gemma":[0.0006187565,0.0003099511,0.0009594269,0.0001185873,0.0004076882,0.00006745929,0.0001449543,0.08097178,0.9145172,0.0002117671,0.0007402116,0.00093223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1500167,0.0002401545,0.8414209,0.000178052,0.0005908092,0.0001157627,0.00002584874,0.0006858989,0.006725905],"genre_scores_gemma":[0.9907018,0.00008364907,0.008428715,0.0002817183,0.00009311434,0.000007503033,0.000004256942,0.0000554583,0.0003437636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8406851,"threshold_uncertainty_score":0.9998891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105647131115431,"score_gpt":0.2114114028547384,"score_spread":0.2003549315435841,"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."}}