{"id":"W2169078996","doi":"10.1109/antemursi.2009.4805051","title":"Comparison of microwave and laser surface detection for microwave imaging systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microwave imaging; Microwave; Antenna (radio); Laser; Radar; Breast imaging; Radar imaging; Optics; Computer science; Acoustics; Remote sensing; Electronic engineering; Materials science; Mammography; Telecommunications; Physics; Engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001509685,0.0001447709,0.0002973234,0.00008902256,0.00004936696,0.00005958918,0.00006399241,0.00004013058,0.000002930338],"category_scores_gemma":[0.000008397779,0.0001447946,0.0000728063,0.0001106382,0.0000245897,0.00007210157,0.00000854208,0.00007803287,0.000002914606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003250749,"about_ca_system_score_gemma":0.000003545463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004570247,"about_ca_topic_score_gemma":0.00001753452,"domain_scores_codex":[0.9992469,0.00001511301,0.0002979696,0.0001693765,0.00006543651,0.0002052051],"domain_scores_gemma":[0.9996395,0.00004606591,0.00004760825,0.0001622634,0.00005385179,0.00005077857],"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":[0.000006117438,0.00001338427,0.00170412,0.0001092839,0.00003806942,4.229251e-7,0.0001887525,0.01546185,0.9681059,0.00001254229,0.001254073,0.01310551],"study_design_scores_gemma":[0.0001926659,0.0000191982,0.0004709667,0.00003253645,0.00004510745,0.00001087919,0.0002291265,0.3816724,0.6165691,0.00003207607,0.0005850465,0.0001408952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6543199,0.001435032,0.3427829,0.00007260197,0.0001348581,0.0001231095,0.00000633512,0.0001634974,0.0009618496],"genre_scores_gemma":[0.9958591,0.00002068888,0.00384383,0.00002405306,0.00003584818,0.000002375374,0.00000668789,0.00001911052,0.00018832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3662106,"threshold_uncertainty_score":0.5904553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114579343685118,"score_gpt":0.2492679309279041,"score_spread":0.2378099965593923,"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."}}