{"id":"W2970553439","doi":"10.1093/gji/ggz396","title":"3-D attenuation tomography from microseismicity in a mine","year":2019,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Microseismic Industry Consortium","keywords":"Geology; Microseism; Seismology; Attenuation; Geophone; Inversion (geology); Tomography; Seismic wave; Amplitude; Moment magnitude scale; Seismic tomography; Geodesy; Mineralogy; Mantle (geology); Geophysics; Tectonics; Geometry; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001050456,0.00008453426,0.0001263569,0.0001092306,0.00004444375,0.00006020656,0.0001762366,0.00003245043,0.003679058],"category_scores_gemma":[0.00002166533,0.0000685866,0.00009441079,0.0001330072,0.00002996594,0.0002252115,0.00001314886,0.0002329507,0.001012133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000742354,"about_ca_system_score_gemma":0.00002025703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002457072,"about_ca_topic_score_gemma":0.0009045398,"domain_scores_codex":[0.9991671,0.00003328835,0.0001959522,0.0001508544,0.0002902041,0.0001625923],"domain_scores_gemma":[0.9996107,0.0001355689,0.00007900254,0.00006490536,0.00005761617,0.00005216635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004867926,0.00003448464,0.9724463,8.710721e-7,0.00004702673,0.00001865593,0.0001161072,0.0003813066,0.0004057317,0.00007949722,0.0003308665,0.02609044],"study_design_scores_gemma":[0.0004870422,0.00005219524,0.988567,0.00002224855,0.000004029898,0.00001314429,0.00005887909,0.003170395,0.00009513101,0.003987435,0.003456451,0.00008605265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916667,0.0001663402,0.00005540176,0.0009533201,0.0009343863,0.00005052997,0.00005348153,0.000009630374,0.006110239],"genre_scores_gemma":[0.9983435,0.00004165364,0.000371828,0.0004524531,0.0004609406,3.17153e-7,0.00006412567,0.000001827425,0.0002633998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02600439,"threshold_uncertainty_score":0.9997657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009169397250667486,"score_gpt":0.2152077330728372,"score_spread":0.2060383358221698,"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."}}