{"id":"W4293695656","doi":"10.36227/techrxiv.20692573","title":"Reconstruction of Arbitrarily Shaped Sources with Electromagnetic Time-Reversal and Kurtosis","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Kurtosis; Ergodic theory; Point (geometry); Computer science; Algorithm; Acoustics; Physics; Mathematics; Mathematical analysis; Geometry; Statistics","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":[0.00005329528,0.0001428696,0.0002356093,0.00005608113,0.00003479682,0.00001889311,0.00009645373,0.00006985692,0.0006004059],"category_scores_gemma":[0.000004224251,0.000129197,0.0000441601,0.0001085208,0.00004966548,0.00002100399,0.00008567253,0.0003252455,0.000003807885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001679587,"about_ca_system_score_gemma":0.00001760769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007397564,"about_ca_topic_score_gemma":0.000003696586,"domain_scores_codex":[0.9994078,0.00002347588,0.0001553441,0.0002056795,0.00009315565,0.0001145199],"domain_scores_gemma":[0.9996367,0.00006007047,0.00004782988,0.000195511,0.00001855322,0.00004140883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008092455,0.0001945032,0.001124141,0.001565456,0.0008828265,0.000002457465,0.0006993421,0.01423963,0.8194433,0.008284906,0.000524875,0.1529576],"study_design_scores_gemma":[0.003093738,0.002748989,0.1204111,0.0006415618,0.002340102,0.0001829893,0.00129139,0.6447771,0.08604173,0.1265035,0.006939878,0.005027964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844153,0.0001713235,0.004592438,0.00007312351,0.00004868457,0.0002515362,0.00002214933,0.0001760528,0.01024939],"genre_scores_gemma":[0.8311682,0.0001127796,0.1677382,0.00001733307,0.00007077622,0.0001962307,0.00002521966,0.00004475475,0.0006265287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7334016,"threshold_uncertainty_score":0.6574023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006483909591529525,"score_gpt":0.2013386969165924,"score_spread":0.1948547873250629,"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."}}