{"id":"W3013789928","doi":"10.3934/ipi.2020026","title":"Unique determinations in inverse scattering problems with phaseless near-field measurements","year":2020,"lang":"en","type":"article","venue":"Inverse Problems and Imaging","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Uniqueness; Scattering; Inverse problem; Inverse scattering problem; Inverse; Field (mathematics); Near and far field; Surface (topology); Mathematical analysis; Boundary (topology); Boundary value problem; Physics; Mathematics; Optics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007548848,0.000369142,0.0004579646,0.00015563,0.0002055323,0.0002100543,0.0002853643,0.00008523865,0.00008471539],"category_scores_gemma":[0.0004943753,0.0003360493,0.00006249876,0.0006269279,0.0002371173,0.0006797589,0.0002250477,0.0005277902,0.00001732344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044259,"about_ca_system_score_gemma":0.00008728963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003607024,"about_ca_topic_score_gemma":0.0002489124,"domain_scores_codex":[0.9976,0.0002037589,0.0005951818,0.0006402922,0.0003937017,0.000567096],"domain_scores_gemma":[0.9987304,0.0002728442,0.0002539932,0.0003049856,0.0001343417,0.0003034476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004637758,0.001537875,0.4888375,0.01001348,0.0005782947,0.0005115244,0.07427346,0.005357325,0.2483286,0.007439876,0.01082932,0.1518289],"study_design_scores_gemma":[0.01832432,0.0014353,0.001126479,0.007394904,0.0005880727,0.0003848028,0.005666405,0.6768877,0.05204972,0.1913462,0.03952192,0.005274161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6967847,0.0003610125,0.259322,0.02042765,0.0004848563,0.004979325,0.00002602026,0.001069352,0.01654512],"genre_scores_gemma":[0.6103716,0.00005207362,0.3853453,0.003724295,0.00006918278,0.0002472286,0.000004339029,0.0001149956,0.00007102852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6715304,"threshold_uncertainty_score":0.9999092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271326548530213,"score_gpt":0.3276563870187518,"score_spread":0.2005237321657304,"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."}}