{"id":"W3089949711","doi":"10.1190/segam2020-3427184.1","title":"3D joint inversion of potential field data in the presence of remanent magnetization","year":2020,"lang":"en","type":"article","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remanence; Inversion (geology); Potential field; Geology; Magnetization; Gramian matrix; Joint (building); Geodesy; Magnetic anomaly; Geophysics; Mineralogy; Magnetic field; Computer science; Geomorphology; Physics; Engineering; Structural basin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004379274,0.0004557238,0.0003857678,0.0005143344,0.0002235497,0.0008757748,0.0007097177,0.0005405428,0.0009937854],"category_scores_gemma":[0.002303214,0.0004882098,0.0005163326,0.0004860244,0.0004480467,0.0008693757,0.000802641,0.0006598262,0.0003158163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604165,"about_ca_system_score_gemma":0.001068382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006492974,"about_ca_topic_score_gemma":0.01288402,"domain_scores_codex":[0.9998451,0.00003294027,0.000008086723,0.00003580205,0.00005849903,0.00001942633],"domain_scores_gemma":[0.9995301,0.0002199546,0.00005795592,0.00007803062,0.00008868925,0.00002540721],"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":[0.000126351,0.00004744855,0.004404508,0.0001501904,0.0001412066,0.0004405337,0.0004288453,0.7384906,0.0592542,0.01289845,0.001569887,0.1820479],"study_design_scores_gemma":[0.000008220777,0.00001692032,0.0007177052,0.000005665105,0.00001093269,0.0000769153,0.00004566395,0.9874625,0.005665892,0.004647179,0.001328636,0.00001392595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04403603,0.00007673656,0.9539372,0.0001406925,0.00002628889,0.00001943786,0.0001560074,0.0005259784,0.001081672],"genre_scores_gemma":[0.5542454,0.0001613811,0.4426521,0.00008951068,0.0000376791,0.0000549323,0.0005693241,0.0002281771,0.001961612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006492974,"threshold_uncertainty_score":0.01291037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982242310452516,"score_gpt":0.2418232961005829,"score_spread":0.2020008729960578,"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."}}