{"id":"W2596814241","doi":"10.3997/2214-4609.201601570","title":"Effects of Fracture Intersections on Seismic Dispersion - Theoretical Predictions Versus Numerical Simulations","year":2016,"lang":"en","type":"article","venue":"78th EAGE Conference and Exhibition 2016","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mechanics; Porosity; Anisotropy; Fracture (geology); Porous medium; Slip (aerodynamics); Matrix (chemical analysis); Limit (mathematics); Dispersion (optics); Low frequency; Materials science; Geotechnical engineering; Geology; Mathematics; Physics; Mathematical analysis; Composite material; Thermodynamics; Optics","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":[0.00006833892,0.0001164173,0.0001307501,0.0001140484,0.0001635312,0.00002288242,0.00007570905,0.00009037149,0.002339597],"category_scores_gemma":[0.0001231777,0.00007103972,0.00005386387,0.00009155755,0.000304974,0.0002255903,0.00001077225,0.0001140314,0.0001077557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007872155,"about_ca_system_score_gemma":0.0000327474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002342504,"about_ca_topic_score_gemma":0.000005428744,"domain_scores_codex":[0.9992344,0.00007646631,0.0001574116,0.0002218452,0.0001496615,0.0001601845],"domain_scores_gemma":[0.9990312,0.0006132761,0.00006301565,0.0001311842,0.00005746397,0.0001038161],"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":[0.003583889,0.0008793614,0.02889101,0.0003174468,0.0003114518,0.0000453487,0.003230289,0.002254715,0.02061792,0.04495043,0.1373278,0.7575904],"study_design_scores_gemma":[0.0127119,0.009126548,0.1358705,0.004558947,0.0005203617,0.00006106051,0.001646471,0.5056499,0.1554988,0.06221154,0.1100253,0.002118719],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6542186,0.0001445212,0.3267119,0.007075296,0.00100951,0.0004369772,0.0003538393,0.0003065888,0.009742809],"genre_scores_gemma":[0.9987237,0.0001925843,0.000121812,0.0006606401,0.00007165335,0.000002162874,0.00004169241,0.000003384257,0.0001824049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7554716,"threshold_uncertainty_score":0.9985724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086239591858455,"score_gpt":0.2284786718709919,"score_spread":0.2176162759524073,"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."}}