{"id":"W2069996177","doi":"10.1190/1.3353731","title":"Continuous hypocenter and source mechanism inversion via a Green's function-based matching pursuit algorithm","year":2010,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hypocenter; Microseism; Seismology; Geology; Hydraulic fracturing; Inversion (geology); Algorithm; Geophone; Induced seismicity; Computer science; Petroleum engineering; Tectonics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004866044,0.0001292137,0.0001259034,0.00008494734,0.0003614138,0.0001007991,0.0002367369,0.00007455797,0.0003067939],"category_scores_gemma":[0.0000165209,0.00008960028,0.00004586831,0.00009775771,0.0001215514,0.000140741,0.00002248064,0.0003630037,0.0003009002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003514715,"about_ca_system_score_gemma":0.00001494822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003172074,"about_ca_topic_score_gemma":0.00005613847,"domain_scores_codex":[0.9991899,0.00005638949,0.0001150095,0.000211541,0.0001839588,0.0002432668],"domain_scores_gemma":[0.9994825,0.0001443138,0.00006513792,0.0001991005,0.00002539853,0.00008352263],"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":[0.00003469029,0.00001480349,0.007235495,0.00001778041,0.00001744103,0.000007048377,0.000668137,0.0000147959,0.0054003,0.00008949019,0.01446673,0.9720333],"study_design_scores_gemma":[0.00118188,0.0003922207,0.006849989,0.0001082112,0.00011561,0.0001317024,0.0009027061,0.6831119,0.01552892,0.03200851,0.2589132,0.0007551904],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212517,0.0001341618,0.1663051,0.005460467,0.002023001,0.0003037465,0.00001711308,0.0005744139,0.003930324],"genre_scores_gemma":[0.9875454,0.000005647799,0.003342422,0.006871791,0.000206189,0.000001091234,0.00002159593,0.000007779039,0.001998093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9712781,"threshold_uncertainty_score":0.4795248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007927862869610534,"score_gpt":0.1923428425811261,"score_spread":0.1844149797115155,"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."}}