{"id":"W2042649162","doi":"10.1190/1.1707057","title":"Analyzing three-component 3D vertical seismic profiling data","year":2004,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baker Hughes (Canada); Encana (Canada); University of Calgary","funders":"","keywords":"Vertical seismic profile; Borehole; Geology; Seismic survey; Deconvolution; Seismology; Geophone; Geotechnical engineering; Algorithm","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":[0.000169336,0.0001195244,0.0001355411,0.00004488367,0.0001759843,0.0000579539,0.000471459,0.00004079175,0.00009189136],"category_scores_gemma":[0.00002066756,0.0001035435,0.00003728418,0.000186188,0.0000852209,0.000351283,0.00006050321,0.0001827027,0.000566644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000819562,"about_ca_system_score_gemma":0.0000670127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005121812,"about_ca_topic_score_gemma":0.00002785829,"domain_scores_codex":[0.9990092,0.00001838717,0.0001530424,0.0003226422,0.0002026143,0.00029415],"domain_scores_gemma":[0.999292,0.0000373226,0.00002860978,0.0005317389,0.00002402033,0.0000863012],"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":[0.0001141718,0.000288916,0.1690902,0.0001280806,0.0001616133,0.0001070578,0.0004014693,0.03685961,0.00237164,0.003168215,0.007799884,0.7795091],"study_design_scores_gemma":[0.0007891126,0.0002074342,0.05279355,0.0001174298,0.00008108036,0.00003001937,0.0001189569,0.852392,0.01472599,0.06684764,0.01116795,0.0007288021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176485,0.0002404252,0.07798265,0.0008284824,0.0003730462,0.0001458684,0.00007952811,0.0003078777,0.002393653],"genre_scores_gemma":[0.9764988,0.00002087124,0.02181553,0.0009706325,0.0001876973,4.338544e-7,0.0004823466,0.000004713578,0.00001901829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8155324,"threshold_uncertainty_score":0.7742682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882898477479777,"score_gpt":0.2378386090708215,"score_spread":0.2090096242960238,"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."}}