{"id":"W2051439883","doi":"10.1190/1.1817362","title":"Magnetic forward modeling and inversion for materials of high susceptibility","year":2002,"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":"University of British Columbia","funders":"","keywords":"Inversion (geology); Citation; Geology; Library science; Computer science; Geophysics; Seismology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003584578,0.0004118986,0.0003804104,0.0003389082,0.0002778489,0.0005813246,0.0007575286,0.0008092611,0.002584163],"category_scores_gemma":[0.001301334,0.0002917923,0.0004182992,0.0003238348,0.0003863079,0.0008276303,0.0006542709,0.0006186291,0.0009021505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740243,"about_ca_system_score_gemma":0.0007259768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003325654,"about_ca_topic_score_gemma":0.003491131,"domain_scores_codex":[0.9999032,0.0000237808,0.000004892554,0.00001366417,0.000046011,0.000008499296],"domain_scores_gemma":[0.9997379,0.0001076275,0.00002929164,0.00004393448,0.00007144565,0.000009848141],"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":[0.00004043617,0.00003120529,0.0004991462,0.0001417439,0.00002082526,0.0001457709,0.0001268143,0.8359306,0.01993363,0.06733638,0.001920638,0.07387277],"study_design_scores_gemma":[0.000003936566,0.00000775353,0.00005874981,0.000004593989,0.000002866648,0.00004835071,0.00001075396,0.9846262,0.002213384,0.01025699,0.002761975,0.000004490031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004531441,0.00008252788,0.9924752,0.0001128626,0.00001921752,0.00001364399,0.00004307003,0.000294351,0.002427586],"genre_scores_gemma":[0.3511299,0.0007048985,0.6267086,0.0001719819,0.0000973253,0.000202002,0.000381904,0.0002826565,0.02032091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003325654,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736786350622264,"score_gpt":0.2271775476117166,"score_spread":0.199809684105494,"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."}}