{"id":"W2113989745","doi":"10.1155/2014/431602","title":"Microwave Tomographic Imaging Utilizing Low-Profile, Rotating, Right Angle-Bent Monopole Antennas","year":2014,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Thayer School of Engineering, Dartmouth College; National Institutes of Health; Dartmouth College","keywords":"Bent molecular geometry; Microwave imaging; Antenna (radio); Magnetic monopole; Acoustics; Optics; Tomographic reconstruction; Physics; Monopole antenna; Microwave; Tomography; Computer science; Engineering; Electrical engineering; Telecommunications; Structural engineering","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":[0.0006634045,0.000428077,0.0004045447,0.0003834893,0.0001208446,0.000619124,0.0004768603,0.0004934587,0.0005985193],"category_scores_gemma":[0.0008877618,0.0003595063,0.0002890233,0.0004338016,0.0003842567,0.0006182662,0.0003630352,0.0004972379,0.0004288009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002352926,"about_ca_system_score_gemma":0.0002248053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004047249,"about_ca_topic_score_gemma":0.0007580724,"domain_scores_codex":[0.9997036,0.00006480524,0.00001901385,0.0000662653,0.0001068694,0.00003936065],"domain_scores_gemma":[0.9993549,0.0002118361,0.0001610321,0.0001235397,0.00009967449,0.00004896882],"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":[0.00006455803,0.00001299236,0.0003708069,0.00004370328,0.000007599381,0.00008640401,0.00002701127,0.0009343491,0.9889809,0.0003350941,0.00008583707,0.009050859],"study_design_scores_gemma":[0.0000152507,0.0002722798,0.002537091,0.00001167021,0.00002497895,0.0006179569,0.00002761655,0.01093818,0.9824835,0.0001491851,0.002880472,0.00004185553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4205486,0.001108788,0.5736624,0.0002547101,0.00004606333,0.0001079733,0.0002592836,0.0009150043,0.003097147],"genre_scores_gemma":[0.4925257,0.000672566,0.5047625,0.00008539285,0.0000314184,0.00007806707,0.0002100114,0.0001242839,0.001510176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006634045,"threshold_uncertainty_score":0.003508449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005401424019364393,"score_gpt":0.2152958119492667,"score_spread":0.2098943879299023,"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."}}