{"id":"W2062099840","doi":"10.3997/2214-4609.20141097","title":"Forward Modelling of Geophysical Electromagnetic Data on Unstructured Grids Using a Finite-volume Approach","year":2014,"lang":"en","type":"article","venue":"Proceedings","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Interpolation (computer graphics); Unstructured grid; Finite volume method; Tetrahedron; Discretization; Computation; Electromagnetic field; Electric field; Maxwell's equations; Algorithm; Computer science; Mathematical analysis; Geometry; Applied mathematics; Mathematics; Grid; Physics; Mechanics","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":[0.0005372352,0.0003520048,0.0006182295,0.0005089651,0.0004120321,0.0009908387,0.001163181,0.001040473,0.001849744],"category_scores_gemma":[0.002053033,0.0003912256,0.0007517665,0.0004811688,0.0007336278,0.0006686341,0.0009511381,0.0008104495,0.0003933946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005048188,"about_ca_system_score_gemma":0.0008572895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005860608,"about_ca_topic_score_gemma":0.003918025,"domain_scores_codex":[0.9997466,0.00008958934,0.00001518231,0.00002581295,0.00009949754,0.00002336567],"domain_scores_gemma":[0.9991717,0.0005317304,0.00005998887,0.0000742231,0.0001326594,0.0000295671],"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":[0.00001177695,0.000009711763,0.0002182805,0.00002141501,0.000007908525,0.00005297831,0.0000346335,0.986151,0.00169548,0.00705907,0.0001803756,0.004557205],"study_design_scores_gemma":[0.000002524061,0.000002822213,0.00002288083,0.000002291626,5.764811e-7,0.000007448337,0.000004860862,0.9977778,0.0002717546,0.001482182,0.0004227329,0.000002233815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01414712,0.000050033,0.98331,0.0001109085,0.00003275529,0.00003854768,0.00009611271,0.0002909575,0.001923521],"genre_scores_gemma":[0.5021679,0.000227283,0.491211,0.0001026792,0.00005306711,0.0002808158,0.0004565847,0.0001981462,0.005302619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005860608,"threshold_uncertainty_score":0.01165295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04381252031614444,"score_gpt":0.2381229740737226,"score_spread":0.1943104537575782,"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."}}