{"id":"W2596106594","doi":"10.1190/geo2016-0210.1","title":"Potential field continuation between arbitrary surfaces — Comparing methods","year":2017,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Surface (topology); Field (mathematics); Continuation; Plane (geometry); Component (thermodynamics); Interpretation (philosophy); Data processing; Distribution (mathematics); Computer science; Algorithm; Point (geometry); Domain (mathematical analysis); Potential field; Horizontal plane; Geometry; Mathematics; Mathematical analysis; Geology; Geophysics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001472471,0.0001264662,0.0002269269,0.00001578508,0.0002813505,0.0001400364,0.0003018268,0.00006299061,0.00001128505],"category_scores_gemma":[0.00004065922,0.0001313161,0.00008194159,0.00004677921,0.00003738463,0.000201636,0.00007096104,0.000195544,0.0000734882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008748933,"about_ca_system_score_gemma":0.000006060184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008622368,"about_ca_topic_score_gemma":0.000002732258,"domain_scores_codex":[0.9993563,0.00003337861,0.0001585637,0.0001539493,0.00009730248,0.0002004532],"domain_scores_gemma":[0.9992051,0.000139102,0.00006679691,0.0004886502,0.00003679295,0.00006361939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000007138709,0.0000646284,0.01010611,0.0001222033,0.0001913904,0.000002886173,0.0002312635,0.002421217,0.1727803,0.01981407,0.0009866516,0.7932721],"study_design_scores_gemma":[0.0003630864,0.00003539203,0.7980649,0.00003451225,0.0001018181,5.634564e-7,0.00003495753,0.0445467,0.04997757,0.1022848,0.004104171,0.0004514861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689836,0.00004344968,0.2230322,0.0001899578,0.0002729604,0.0001175882,0.00000739638,0.000177891,0.007174908],"genre_scores_gemma":[0.9221975,0.00000888746,0.07720573,0.00002851314,0.0004449124,0.00001778513,0.00001232052,0.00001907917,0.00006524463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7928207,"threshold_uncertainty_score":0.5354915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201645613752346,"score_gpt":0.3369875895192955,"score_spread":0.304971133381772,"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."}}