{"id":"W2165795570","doi":"10.1190/1.1884828","title":"Interpretation of magnetic data using an enhanced local wavenumber (ELW) method","year":2005,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Wavenumber; A priori and a posteriori; Interpretation (philosophy); Noise (video); Magnetic field; Geology; Mathematical analysis; Computer science; Mathematics; Physics; Optics","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":[0.0004929399,0.0006324159,0.0003536836,0.001629002,0.0002157502,0.0008493189,0.0008353036,0.0003902637,0.003923949],"category_scores_gemma":[0.00176439,0.0002243,0.0004275517,0.0008647334,0.000369757,0.001378882,0.0007354494,0.0005549338,0.001294461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938613,"about_ca_system_score_gemma":0.0003619672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024485,"about_ca_topic_score_gemma":0.00158157,"domain_scores_codex":[0.9997959,0.00005798957,0.00001610607,0.00003505398,0.0000743338,0.00002066655],"domain_scores_gemma":[0.9995871,0.0001626992,0.00005022448,0.0000789346,0.000102124,0.00001896089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002201693,0.00009176287,0.002963339,0.0003567951,0.0000788796,0.0005332752,0.0003509359,0.0824731,0.2120475,0.02399895,0.003165605,0.6737196],"study_design_scores_gemma":[0.00004338226,0.00005814341,0.002706415,0.00004347304,0.0000294493,0.0005091846,0.000194062,0.9354686,0.03414432,0.0149402,0.01178541,0.00007738697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007024412,0.00004690333,0.9911084,0.00003981857,0.0000248926,0.00001944841,0.00008720097,0.0007036359,0.0009452911],"genre_scores_gemma":[0.1474976,0.0001686538,0.8491617,0.00005641648,0.00004440046,0.0000708297,0.0002759087,0.0003797633,0.002344655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003923949,"threshold_uncertainty_score":0.01312691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03334744226113102,"score_gpt":0.3056131674618638,"score_spread":0.2722657252007328,"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."}}