{"id":"W2094169365","doi":"10.1190/geo2013-0390.1","title":"Joint location of microseismic events in the presence of velocity uncertainty","year":2014,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science Foundation","keywords":"Microseism; Event (particle physics); Joint (building); Geology; Kinematics; Bayesian probability; Seismology; Orientation (vector space); Field (mathematics); Computer science; Data mining; Geodesy; Mathematics; Artificial intelligence","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":[0.0003854077,0.000047925,0.00009327585,0.00002845088,0.0000262607,0.000002682922,0.0001879417,0.00002105478,0.00001524162],"category_scores_gemma":[0.00005894699,0.00003325007,0.00002393056,0.0002359457,0.00007622129,0.00006639862,0.000007422484,0.00006780023,0.00001361807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001976486,"about_ca_system_score_gemma":0.00002675916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237485,"about_ca_topic_score_gemma":0.00003946731,"domain_scores_codex":[0.9994438,0.00009244512,0.0001412971,0.00008412964,0.0001475018,0.00009081314],"domain_scores_gemma":[0.9995733,0.00009470474,0.00009386903,0.0001692235,0.00005766825,0.00001124626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001276441,0.0002678601,0.3369973,0.0005287942,0.00002593097,0.00000103092,0.007331623,0.0263262,0.004045466,0.002079214,0.009802117,0.6124668],"study_design_scores_gemma":[0.0002258215,0.0001744324,0.7835086,0.0001125738,0.000008215557,0.000001472159,0.0003779371,0.1675681,0.01542273,0.03080692,0.001678161,0.0001151005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974432,0.00004015367,0.001333503,0.0002347489,0.00006578357,0.00008501369,0.00000727344,0.000009571198,0.0007807449],"genre_scores_gemma":[0.9991851,0.00001183161,0.0003267833,0.0004150825,0.00001884073,4.984814e-7,0.00001814454,8.483196e-7,0.00002286705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6123517,"threshold_uncertainty_score":0.9942018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333609092365091,"score_gpt":0.2113531142071386,"score_spread":0.1980170232834877,"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."}}