{"id":"W4200200371","doi":"10.1190/geo2021-0032.1","title":"Potential field data interpolation by Taylor series expansion","year":2021,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Guangdong Province","keywords":"Interpolation (computer graphics); Taylor series; Multivariate interpolation; Series (stratigraphy); Data point; Remainder; Grid; Algorithm; Robustness (evolution); Field (mathematics); Computer science; Mathematics; Bilinear interpolation; Mathematical analysis; Geometry; Geology; Statistics; Artificial intelligence","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":[0.001280201,0.0005365003,0.0006104262,0.001264983,0.000377085,0.000628873,0.0008824697,0.0006363455,0.002454224],"category_scores_gemma":[0.004925482,0.0003056693,0.0007513114,0.001354218,0.0005382941,0.001186504,0.0006144804,0.001049101,0.0009940772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006599834,"about_ca_system_score_gemma":0.0006883906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004590039,"about_ca_topic_score_gemma":0.002623795,"domain_scores_codex":[0.9995042,0.0001370104,0.00003110715,0.00006389143,0.0002295259,0.00003434151],"domain_scores_gemma":[0.9984995,0.0007143508,0.00008959218,0.0001934796,0.0004727441,0.00003022008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008303248,0.00006492993,0.001310671,0.0001430753,0.00002775898,0.0001403161,0.0001546478,0.8580838,0.01008606,0.02288656,0.002274418,0.1047448],"study_design_scores_gemma":[0.000001705449,0.00000477508,0.00007530637,0.000004864233,9.83435e-7,0.000007982862,0.00000628345,0.9969759,0.001008808,0.00126807,0.0006413753,0.000003987956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01761735,0.00009572811,0.9790709,0.00008995904,0.00007869222,0.00004970668,0.00008168779,0.0006148528,0.002301123],"genre_scores_gemma":[0.357247,0.0002513169,0.6376876,0.00009296127,0.00005687634,0.0001616324,0.000434824,0.000436719,0.003631068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004590039,"threshold_uncertainty_score":0.009126663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619631645981399,"score_gpt":0.2415338507330884,"score_spread":0.2253375342732745,"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."}}