{"id":"W2608712298","doi":"10.1029/2017jb014671","title":"A Broadband Laboratory Study of the Seismic Properties of Cracked and Fluid‐Saturated Synthetic Glass Media","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Lawrence Berkeley National Laboratory; Basic Energy Sciences; Australian Research Council; Office of Science; University of Alberta; U.S. Department of Energy","keywords":"Materials science; Saturation (graph theory); Shear modulus; Composite material; Bulk modulus; Ultrasonic sensor; Porous medium; Porosity; Elastic modulus; Mineralogy; Shear waves; Shear (geology); Geology; Acoustics","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":[0.0001580713,0.0002814233,0.0001461371,0.0002456944,0.0001560681,0.0001696214,0.0001747392,0.0002030706,0.000836115],"category_scores_gemma":[0.0003243925,0.0001398762,0.0001023332,0.0001556617,0.0003245497,0.0001738101,0.0002470326,0.0001813299,0.0001203585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001432078,"about_ca_system_score_gemma":0.00009632196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007157343,"about_ca_topic_score_gemma":0.0008083862,"domain_scores_codex":[0.999889,0.00001371833,0.000007041006,0.00002576785,0.0000438891,0.00002063781],"domain_scores_gemma":[0.9997479,0.0000665035,0.0000834849,0.00002576353,0.0000481098,0.00002827032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002531808,0.000006450747,0.0004218536,0.00001137403,0.000001759209,0.00001669702,0.00002002094,0.00008365998,0.9989461,0.00002320857,0.00000617672,0.0004373709],"study_design_scores_gemma":[0.000006529367,0.000530276,0.008722029,0.000004627834,0.00001016605,0.00009123702,0.00008233976,0.002164861,0.9879906,0.00002592655,0.0003634489,0.000008062539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976476,0.00007419297,0.001827138,0.00001006898,0.000002576307,0.000006255988,0.00008584042,0.00002981481,0.0003165212],"genre_scores_gemma":[0.998553,0.00005809672,0.001030713,0.000006562782,0.000002692418,0.00001062266,0.00009675694,0.000006097883,0.0002353274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000836115,"threshold_uncertainty_score":0.002797067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499059677971775,"score_gpt":0.2850150018442464,"score_spread":0.2500244050645287,"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."}}