{"id":"W2090988599","doi":"10.1190/1.1444705","title":"Incorporating geological dip information into geophysical inversions","year":2000,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inversion (geology); Geology; Induced polarization; Flatness (cosmology); Magnetic dip; Geophysics; Electrical resistivity and conductivity; Geodesy; Geometry; Seismology; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005817059,0.0004715923,0.0004198562,0.0005260354,0.0001819761,0.000826347,0.0004107577,0.0005598977,0.0008897468],"category_scores_gemma":[0.001971782,0.0003312723,0.0003368343,0.0004753851,0.0004134319,0.0009785402,0.0008161791,0.0005585414,0.0002231815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004439728,"about_ca_system_score_gemma":0.0005689288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003642462,"about_ca_topic_score_gemma":0.004828012,"domain_scores_codex":[0.9998667,0.00004971019,0.00000605333,0.00001558805,0.00004145832,0.00002034522],"domain_scores_gemma":[0.9996549,0.0001756618,0.00003622015,0.00004164888,0.00006934965,0.00002223717],"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":[0.00002117818,0.00001743552,0.0009463343,0.00001816237,0.0000132398,0.00002517909,0.00001090962,0.9685715,0.003617447,0.003319455,0.0002361053,0.02320311],"study_design_scores_gemma":[0.000003146504,0.000004299949,0.0001107835,0.000001457505,0.000001671312,0.000005289874,0.000003080488,0.9981321,0.0005276845,0.001061996,0.0001463065,0.000002219156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05517046,0.0000708154,0.9421847,0.0001555919,0.00001589844,0.00001641267,0.00009631013,0.0004273689,0.001862503],"genre_scores_gemma":[0.8312161,0.0001326186,0.1672995,0.00007527766,0.0000277098,0.00003718094,0.0001672205,0.0001254262,0.0009189107],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003642462,"threshold_uncertainty_score":0.00724256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009848403832826697,"score_gpt":0.2098243725445474,"score_spread":0.1999759687117207,"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."}}