{"id":"W2079311200","doi":"10.1109/antem.2014.6887729","title":"Johns Matrix formulation of inverse TLM problems","year":2014,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Inverse; Impulse response; Matrix (chemical analysis); Impulse (physics); Inverse problem; Computer science; Ergodic theory; Mathematics; Applied mathematics; Algorithm; Mathematical analysis; Physics; Geometry","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":[0.0001036716,0.00005606697,0.00009361961,0.00009507447,0.00001307763,0.000009989881,0.00004980233,0.00002254524,0.00008798921],"category_scores_gemma":[0.000007853185,0.00005094675,0.0000445603,0.0001141406,0.00000694349,0.00005279968,0.000008316059,0.0000364655,0.00005468769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001166879,"about_ca_system_score_gemma":0.000001702697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008309894,"about_ca_topic_score_gemma":0.00003575852,"domain_scores_codex":[0.9996551,0.000007112422,0.0001335718,0.00005853738,0.00005633596,0.00008932238],"domain_scores_gemma":[0.9997941,0.00001221838,0.00001620133,0.0001362929,0.0000165429,0.00002466292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001937788,0.00001934882,0.006510297,0.0003739032,0.0001037255,3.036656e-7,0.0005874517,0.5446332,0.4235541,0.001529163,0.01120491,0.01148172],"study_design_scores_gemma":[0.0001300419,0.000008620354,0.0006740106,0.00001844129,0.0000216341,0.000001418447,0.00001097907,0.9569309,0.03343752,0.0003000703,0.008367578,0.00009883564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.524209,0.00003400772,0.4215293,0.0001047458,0.0001067535,0.00006243641,0.000002012993,0.0003918066,0.05356001],"genre_scores_gemma":[0.9951869,0.00001155531,0.004256165,0.00001453446,0.00002226279,0.000001463462,0.000005116652,0.00001045426,0.0004916083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4709779,"threshold_uncertainty_score":0.2077548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006969795467403359,"score_gpt":0.2029672813790071,"score_spread":0.1959974859116037,"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."}}