{"id":"W2316340671","doi":"10.1190/segam2013-0630.1","title":"Numerical modeling of geophysical electromagnetic inductive and galvanic phenomena","year":2013,"lang":"en","type":"article","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geophysics; Galvanic cell; Electromagnetics; Computational electromagnetics; Numerical models; Electromagnetic field; Computer science; Numerical modeling; Geology; Physics; Materials science; Engineering physics; Metallurgy","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":[0.0003591907,0.0003933022,0.000483175,0.0004745604,0.0005140746,0.001175832,0.0009929058,0.001289184,0.002535731],"category_scores_gemma":[0.00150993,0.0002841371,0.0004159394,0.0006674725,0.0009716706,0.0009171313,0.0008969521,0.0006278361,0.0005321185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005438679,"about_ca_system_score_gemma":0.0007679475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002175529,"about_ca_topic_score_gemma":0.001345701,"domain_scores_codex":[0.9997789,0.00005736829,0.0000137944,0.00002532054,0.0001005177,0.00002407253],"domain_scores_gemma":[0.9996585,0.0001523001,0.00003692072,0.0000512456,0.00007658048,0.00002448171],"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":[0.00001680709,0.00002196225,0.0004592541,0.00004591816,0.000006837829,0.0001152482,0.00009727774,0.9598357,0.005759914,0.02603918,0.0004151176,0.007186729],"study_design_scores_gemma":[0.000006345162,0.000008537502,0.0001282019,0.000007347318,0.000002047549,0.00005206838,0.00002050466,0.9916858,0.0009958515,0.00461717,0.00246891,0.000007139557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08002076,0.0006270207,0.8834465,0.0005899629,0.0002069348,0.00009686599,0.0002587487,0.0006141826,0.03413904],"genre_scores_gemma":[0.778508,0.00103533,0.2046197,0.0001708966,0.00008423643,0.0003215248,0.0003345341,0.0001382547,0.01478749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002535731,"threshold_uncertainty_score":0.008482873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256483786648819,"score_gpt":0.2116207023392738,"score_spread":0.1990558644727856,"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."}}