{"id":"W2317511584","doi":"10.3997/2214-4609.201413209","title":"Full Model Wavenumber Inversion (FMWI)","year":2015,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Wavenumber; Residual; Inversion (geology); Fourier transform; A priori and a posteriori; Mathematical analysis; Algorithm; Mathematics; Physics; Geology; Optics; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004644926,0.0007456502,0.0003594113,0.0004498715,0.0003379385,0.0008354516,0.001131429,0.0006672162,0.006213496],"category_scores_gemma":[0.001392789,0.0003730061,0.0006168678,0.000531281,0.0002766301,0.001914792,0.001204129,0.0008909607,0.002358763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002644183,"about_ca_system_score_gemma":0.0008559956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004033912,"about_ca_topic_score_gemma":0.004655256,"domain_scores_codex":[0.9998106,0.00003165098,0.00001135698,0.00004103762,0.00007608514,0.000029301],"domain_scores_gemma":[0.99977,0.00006187551,0.00002439307,0.00008294336,0.00004840813,0.00001237648],"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":[0.0002059244,0.0001344012,0.003102445,0.000333887,0.0001930012,0.0002393298,0.0002004907,0.3373641,0.05571031,0.05583812,0.01257485,0.5341031],"study_design_scores_gemma":[0.00001327123,0.00003418068,0.0008119274,0.00001858639,0.00001176852,0.00009176722,0.00003125034,0.9630414,0.0109867,0.01481943,0.01011226,0.00002740602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01780708,0.0001719018,0.9712473,0.0001761637,0.00005376734,0.00004197392,0.000788326,0.002830871,0.006882587],"genre_scores_gemma":[0.3277563,0.0003527969,0.6596124,0.0001829252,0.00005122868,0.0001576628,0.003156291,0.0009563197,0.007773982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006213496,"threshold_uncertainty_score":0.02078617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580976933116699,"score_gpt":0.2240073724798604,"score_spread":0.1881976031486934,"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."}}