{"id":"W2330005257","doi":"10.1190/1.3627747","title":"Robust full‐waveform inversion using the Student's t‐distribution","year":2011,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Petrobras; BG Group","keywords":"Inversion (geology); Outlier; Computer science; Waveform; Algorithm; Geology; Seismology; Artificial intelligence; Telecommunications; Radar","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002632685,0.00007838297,0.00006260638,0.00002976792,0.000261609,0.00003368967,0.0002234831,0.00003926448,0.004234888],"category_scores_gemma":[0.000009147958,0.00004481728,0.00004076919,0.0001404977,0.00008733333,0.0002331755,0.00001892646,0.00009605677,0.0002472769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008690647,"about_ca_system_score_gemma":0.00001860497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009777618,"about_ca_topic_score_gemma":0.00006857053,"domain_scores_codex":[0.9993694,0.00003520538,0.0001103961,0.0001319333,0.0001747079,0.0001783168],"domain_scores_gemma":[0.9996938,0.00001892781,0.00004365628,0.0001607501,0.00003192128,0.00005094594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001527626,0.0001090646,0.5841745,0.00002349192,0.00006525284,0.00002849836,0.003119228,0.0006921901,0.000307251,0.00133417,0.1402193,0.2697743],"study_design_scores_gemma":[0.0005829342,0.000461818,0.1920687,0.00005413646,0.00008368649,0.0001123123,0.01019983,0.6960719,0.02269451,0.003316077,0.07367664,0.0006775071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005122,0.00008509002,0.02428386,0.0003816364,0.0005065209,0.0001885165,0.00001893568,0.0002604274,0.07376284],"genre_scores_gemma":[0.9952459,0.00002512509,0.003013162,0.001284312,0.00004331684,2.098318e-7,0.00005819192,0.000001590049,0.0003282088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6953797,"threshold_uncertainty_score":0.9968163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06748588798005367,"score_gpt":0.2305354286115144,"score_spread":0.1630495406314607,"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."}}