{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002902696,0.0004853755,0.0003297121,0.0003199415,0.0002868609,0.0006889557,0.0005999852,0.001008994,0.0006520296],"category_scores_gemma":[0.001067702,0.0003883344,0.000509664,0.0003256375,0.0006532827,0.0004769205,0.0004920918,0.0005052333,0.0001094272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000646471,"about_ca_system_score_gemma":0.0005590322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948847,"about_ca_topic_score_gemma":0.007776241,"domain_scores_codex":[0.9999068,0.00002511825,0.000004874948,0.00002256854,0.00002112002,0.00001957923],"domain_scores_gemma":[0.9995603,0.0002524347,0.00007023561,0.00003056462,0.00005446499,0.00003203725],"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":[0.000008229315,0.000008725184,0.0007282483,0.000002137768,0.000004275033,0.00001769814,0.00001005724,0.997394,0.0007341031,0.0005517806,0.00001890937,0.0005218748],"study_design_scores_gemma":[0.000001455597,0.000002356848,0.0001242173,3.801363e-7,8.959393e-7,0.000002589435,0.000002108692,0.9996033,0.00008429078,0.000159908,0.00001746911,0.0000010659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7592974,0.00006340549,0.2371685,0.0001211984,0.00001905845,0.00002773015,0.0002010741,0.0002886558,0.002812966],"genre_scores_gemma":[0.9867497,0.00006170458,0.01182087,0.00001836669,0.000007588979,0.00002028607,0.0001170003,0.00003775553,0.001166707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01948847,"threshold_uncertainty_score":0.03875011,"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."}}