{"id":"W2334719805","doi":"10.1190/segam2012-1454.1","title":"3D modeling of IP effects on electromagnetic data in the time domain","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transmitter; Computer science; Time domain; Domain (mathematical analysis); Telecommunications; Electrical engineering; Geology; Engineering; Channel (broadcasting)","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":[0.0002773767,0.0004606836,0.0002831684,0.0003287889,0.0001929821,0.0008544661,0.0007103294,0.0007395991,0.002260628],"category_scores_gemma":[0.001171259,0.0003183299,0.000477092,0.0003680107,0.0004046535,0.0008171459,0.0005331556,0.0004793313,0.0006705368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310811,"about_ca_system_score_gemma":0.0004262066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002437755,"about_ca_topic_score_gemma":0.002050239,"domain_scores_codex":[0.9998709,0.00002871165,0.000006502967,0.00001975494,0.00006333063,0.00001076711],"domain_scores_gemma":[0.9997007,0.0001466834,0.00003250688,0.0000537909,0.00005629915,0.00001010564],"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":[0.00002048914,0.00001617133,0.0005764411,0.00005457954,0.00001901903,0.0001535997,0.0000790491,0.9596465,0.01344814,0.007495383,0.0005297712,0.01796084],"study_design_scores_gemma":[0.000001721169,0.000007200329,0.0001101964,0.000003048791,0.000004177006,0.00003558286,0.000007179127,0.9955051,0.002178999,0.000923624,0.001219048,0.000004194111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01115108,0.00005931435,0.9859595,0.00005103989,0.00002452043,0.00001383494,0.0001016919,0.0003758202,0.002263226],"genre_scores_gemma":[0.6524451,0.000878158,0.3348002,0.0001694478,0.00007095637,0.0001757985,0.0004529339,0.0004941912,0.01051325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002437755,"threshold_uncertainty_score":0.007562518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187835936794732,"score_gpt":0.24840077116769,"score_spread":0.2265224117997426,"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."}}