{"id":"W2079992467","doi":"10.1002/2014je004654","title":"Modeling seismic energy propagation in highly scattering environments","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Planets","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration","keywords":"Coda; Scattering; Attenuation; Geology; Seismic wave; Wavelet; Seismology; Computational physics; Energy (signal processing); Monte Carlo method; Physics; Geophysics; Acoustics; Optics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007225875,0.00007255465,0.0001405085,0.0001821708,0.00004953033,0.000054556,0.0001959103,0.00002324249,0.00000916528],"category_scores_gemma":[0.00001694454,0.00005973209,0.00002909117,0.0001818537,0.00003946379,0.0006179486,0.00003920018,0.0003126722,0.0001319469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005839365,"about_ca_system_score_gemma":0.0001296861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009100222,"about_ca_topic_score_gemma":0.00001301608,"domain_scores_codex":[0.9984598,0.0001268554,0.0002625069,0.000116417,0.0007512848,0.0002832068],"domain_scores_gemma":[0.9995463,0.00005370272,0.00006876532,0.00008904302,0.00005936402,0.0001828337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005192421,0.0007897722,0.01948558,0.00001509828,0.00006430137,0.0001805947,0.001482422,0.867148,0.06222178,0.002452406,0.003315413,0.04232538],"study_design_scores_gemma":[0.0008382035,0.0004377363,0.003847733,0.00007442034,0.000005088326,0.000009086713,0.0005426556,0.9712651,0.002287562,0.01771964,0.002826631,0.0001461786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909471,0.00001988487,0.008112581,0.0003104485,0.00007734246,0.00004922346,0.000004597169,0.000001965705,0.0004768047],"genre_scores_gemma":[0.9992822,0.000006677605,0.0001100025,0.00002162057,0.0004050494,0.000002607718,0.00006745565,0.000004906781,0.00009941635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1041171,"threshold_uncertainty_score":0.2435804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06725553658242793,"score_gpt":0.3044605023147886,"score_spread":0.2372049657323606,"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."}}