{"id":"W3196159099","doi":"10.1109/antem51107.2021.9518580","title":"Phaseless Electromagnetic Inversion for Imaging, Characterization, and Design","year":2021,"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 Manitoba","funders":"","keywords":"Inverse scattering problem; Inversion (geology); Microwave imaging; Inverse problem; Microwave; Computer science; Optics; Near and far field; Inverse; Amplitude; Electromagnetic field; Scattering; Physics; Telecommunications; Geology; Mathematics","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":[0.001218916,0.0009289928,0.0007455919,0.0009564543,0.0002201156,0.001557508,0.001030675,0.001330703,0.002587588],"category_scores_gemma":[0.001932611,0.0004332899,0.0005601168,0.001124635,0.001208465,0.001999199,0.0009201146,0.00175867,0.002009954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004754728,"about_ca_system_score_gemma":0.0004957909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001924977,"about_ca_topic_score_gemma":0.0002711926,"domain_scores_codex":[0.9994463,0.0001338915,0.00003275881,0.00009784723,0.000263578,0.00002555635],"domain_scores_gemma":[0.9991953,0.0004461219,0.0000827839,0.00009620361,0.0001609581,0.00001871416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008494128,0.00008968534,0.0005827441,0.002853271,0.0001120062,0.0002404501,0.0001631198,0.02527898,0.1215765,0.2511452,0.01031151,0.5875615],"study_design_scores_gemma":[0.00004637358,0.0004460599,0.0007267829,0.0006566109,0.0001381097,0.002649843,0.0001257777,0.2781948,0.1256785,0.2261669,0.365008,0.0001622468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009310836,0.01495195,0.9788968,0.0004344842,0.0001755047,0.00003691808,0.00004727156,0.000236744,0.004289276],"genre_scores_gemma":[0.06219019,0.06989331,0.8587016,0.0009063957,0.0009522169,0.0002614344,0.0003309164,0.0002464005,0.006517559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002587588,"threshold_uncertainty_score":0.008656323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007731893732358518,"score_gpt":0.1968866286319899,"score_spread":0.1891547348996314,"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."}}