{"id":"W2968472969","doi":"10.1190/segam2019-3205418.1","title":"Meshfree modelling of 3-D controlled-source EM data: A new method to treat the singular source terms","year":2019,"lang":"pt","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Discretization; Computer science; Electromagnetics; Computation; Polygon mesh; Computational science; Computational electromagnetics; Algorithm; Computer graphics (images); Mathematics; Mathematical analysis; Physics","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":[0.0006189169,0.0006000532,0.0005096824,0.000637515,0.0003334424,0.0008897006,0.001454237,0.001084866,0.002959861],"category_scores_gemma":[0.001621829,0.0003265765,0.000749864,0.0004363224,0.0005597853,0.001185802,0.0009925592,0.0008609815,0.0009328861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001003,"about_ca_system_score_gemma":0.0005747845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008534909,"about_ca_topic_score_gemma":0.0010716,"domain_scores_codex":[0.9997476,0.00004958859,0.00001332934,0.00003136684,0.0001449284,0.00001315927],"domain_scores_gemma":[0.9992223,0.000407326,0.00006209099,0.0001254427,0.0001523357,0.00003053567],"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":[0.0001665197,0.0001123457,0.001282759,0.0004460951,0.0001073846,0.0004717665,0.0004443564,0.4361015,0.09322238,0.128104,0.006565148,0.3329757],"study_design_scores_gemma":[0.00001285345,0.00003098585,0.00009587318,0.00001925075,0.000009733574,0.0001622538,0.00002366945,0.9755281,0.006030047,0.008999343,0.009067841,0.00002007008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001260222,0.00003018525,0.9980679,0.00002455848,0.00002347312,0.00001330417,0.00001492372,0.00008044211,0.0004850542],"genre_scores_gemma":[0.07995523,0.0003348037,0.9131335,0.0001013996,0.00007508107,0.0001561455,0.000217979,0.0003460483,0.005679816],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002959861,"threshold_uncertainty_score":0.009901702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04403299837798657,"score_gpt":0.3152974029746192,"score_spread":0.2712644045966326,"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."}}