{"id":"W2021342665","doi":"10.1109/iceaa.2012.6328813","title":"Accelerated FDTD technique for marine Controlled Source Electromagnetic imaging","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Acceleware (Canada)","funders":"","keywords":"Finite-difference time-domain method; Computer science; Electromagnetics; Computational electromagnetics; Computational science; Electronic engineering; Parallel computing; Electromagnetic field; Engineering; Optics","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":[0.0001362892,0.0001024982,0.0001727012,0.0000305705,0.00004362936,0.00001999299,0.0000758844,0.00002762052,0.0001528204],"category_scores_gemma":[0.00002577865,0.00008612101,0.00006404672,0.0001236463,0.000009781376,0.00006141223,0.00001745903,0.00007407566,0.00003550425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528039,"about_ca_system_score_gemma":0.000003254591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007526074,"about_ca_topic_score_gemma":5.065345e-7,"domain_scores_codex":[0.9994326,0.00001238822,0.000137611,0.00007927725,0.00004031536,0.0002978249],"domain_scores_gemma":[0.9996253,0.0001213602,0.00001429178,0.0001356072,0.00003032921,0.00007307681],"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":[0.00001135436,0.00004328357,0.0001474341,0.00002047475,0.00001805012,4.038767e-8,0.00001042726,0.00005005643,0.9641669,0.005339696,0.0008508919,0.02934136],"study_design_scores_gemma":[0.007177392,0.000167045,0.01472307,0.00002136989,0.0002194318,0.00002262596,0.00006513047,0.1841962,0.6643471,0.0161969,0.111627,0.001236645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02642881,0.0001089707,0.953473,0.0001963251,0.00005325375,0.001221144,0.000001425142,0.0008162385,0.01770081],"genre_scores_gemma":[0.857523,0.000005915002,0.1398065,0.00007742669,0.0001470243,0.001532886,0.000004408688,0.00004061859,0.0008621736],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8310943,"threshold_uncertainty_score":0.3511913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139265615810027,"score_gpt":0.259006424586212,"score_spread":0.2476137684281118,"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."}}